feat: P0 全部实现 + 差异化功能分析
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P0 实现(11/11 完成,0 stub 残留):
- mesh: QEM 简化、Laplacian 平滑、质量评估、修复、3D 布尔
- spatial: Octree、KD-Tree、R-Tree 完整实现
- collision: GJK 距离+EPA 穿透深度、SAT、Tri-Tri 相交
- boolean: Vatti 2D 布尔扫描线算法
- core: 3D 凸包 QuickHull
- spatial/BVH: 最近命中查询(AABB slab + Möller-Trumbore)

文档新增:
- 05-核心竞争力与差异化功能(14 项独有功能)
- SRS 扩展到 16 类 FR、100+ 条目
- 杀手功能:约束求解器/SDF隐式建模/可微分几何/惰性管线/Python绑定
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| 编号 | 文档 | 说明 | | 编号 | 文档 | 说明 |
|------|------|------| |------|------|------|
| **第一阶段:需求分析** | | | | **第一阶段:需求分析** | | |
| 01 | [市场调研与竞品分析](01-需求分析/01-市场调研与竞品分析.md) | CGAL、OCCT、libigl 等 7 个引擎对标 | | 01 | [市场调研与竞品分析](01-需求分析/01-市场调研与竞品分析.md) | 7 个引擎对标 |
| 02 | [需求规格说明书](01-需求分析/02-需求规格说明书.md) | 14 类功能需求 + 5 类非功能需求(v1.0 完整版 | | 02 | [需求规格说明书](01-需求分析/02-需求规格说明书.md) | 16 类功能需求(含差异化功能 |
| 03 | [用例文档](01-需求分析/03-用例文档.md) | 6 个核心用例场景 | | 03 | [用例文档](01-需求分析/03-用例文档.md) | 6 个核心用例 |
| 04 | [功能差距分析](01-需求分析/04-功能差距分析.md) | 41 项功能差距,5 级优先级,分版本路线 | | 04 | [功能差距分析](01-需求分析/04-功能差距分析.md) | 41 项差距,5 级优先级 |
| 05 | [核心竞争力与差异化功能](01-需求分析/05-核心竞争力与差异化功能.md) | 14 项独有/首创功能 |
| **第二阶段:概要设计** | | | | **第二阶段:概要设计** | | |
| 05 | [系统架构设计](02-概要设计/01-系统架构设计.md) | 7 层模块架构 + 数据流 + 设计原则 | | 06 | [系统架构设计](02-概要设计/01-系统架构设计.md) | 7 层模块架构 |
| 06 | [模块划分](02-概要设计/02-模块划分.md) | 7 个模块详细组件清单与依赖关系 | | 07 | [模块划分](02-概要设计/02-模块划分.md) | 7 个模块详细清单 |
| 07 | [接口定义](02-概要设计/03-接口定义.md) | C++ 虚接口抽象 + C API + 错误处理约定 | | 08 | [接口定义](02-概要设计/03-接口定义.md) | 接口 + C API |
| **第三阶段:详细设计** | | | | **第三阶段:详细设计** | | |
| 08 | [数据结构设计](03-详细设计/01-数据结构设计.md) | 半边网格NURBSBVH、公差系统 | | 09 | [数据结构设计](03-详细设计/01-数据结构设计.md) | 半边网格/NURBS/BVH |
| 09 | [核心算法设计](03-详细设计/02-核心算法设计.md) | Delaunay、GJK、QEM、SAH 等算法伪代码 | | 10 | [核心算法设计](03-详细设计/02-核心算法设计.md) | 算法伪代码 |
| 10 | [类设计](03-详细设计/03-类设计.md) | 类关系图、工厂模式、策略模式、访问者模式 | | 11 | [类设计](03-详细设计/03-类设计.md) | 工厂/策略/访问者模式 |
| **第四阶段:编码实现** | | | | **第四阶段:编码实现** | | |
| 11 | [编码规范](04-编码实现/01-编码规范.md) | C++17 命名、格式、注释、内存、错误处理规范 | | 12 | [编码规范](04-编码实现/01-编码规范.md) | C++17 规范 |
| 12 | [目录结构](04-编码实现/02-目录结构.md) | 完整工程目录树 + CMakeLists.txt 骨架 | | 13 | [目录结构](04-编码实现/02-目录结构.md) | 工程目录树 |
| **第五阶段:测试验证** | | | | **第五阶段:测试验证** | | |
| 13 | [测试计划](05-测试验证/01-测试计划.md) | 测试策略、CI 流程、性能基准、回归测试 | | 14 | [测试计划](05-测试验证/01-测试计划.md) | CI + 性能基准 |
| 14 | [测试用例](05-测试验证/02-测试用例.md) | 8 组详细测试用例,含输入/预期输出 | | 15 | [测试用例](05-测试验证/02-测试用例.md) | 8 组测试用例 |
| **第六阶段:部署维护** | | | | **第六阶段:部署维护** | | |
| 15 | [构建指南](06-部署维护/01-构建指南.md) | Linux/Win/macOS 构建 + FetchContent 集成 | | 16 | [构建指南](06-部署维护/01-构建指南.md) | 三平台构建 |
| 16 | [API 参考](06-部署维护/02-API参考.md) | 7 个模块全部公开 API 签名 | | 17 | [API 参考](06-部署维护/02-API参考.md) | 全部 API 签名 |
## 版本路线 ## 杀手功能(竞品无人支持)
``` | 功能 | 阶段 | 说明 |
v0.1.0 v0.3.0 v0.5.0 v1.0.0 v2.0.0 |------|------|------|
✅ 已完成 → P0 核心缺口 → P1 算法广度 → P2 B-Rep → P4 高级功能 | 2D 草图约束求解器 | v2.0 | 开源唯一,商业 CAD 核心资产 |
追上 Clipper2 追上 Manifold 追上 OCCT 追上 CGAL | SDF 隐式建模 | v1.5 | 程序化建模/有机形态 |
+ Manifold + libigl 建模层 高级 | 可微分几何 | v2.0 | AI+CAD 交叉领域 |
``` | 惰性求值几何管线 | v1.0 | TensorFlow 式的几何计算图 |
| Python 原生绑定 | v0.5 | pip install 即用 |
## 技术栈 | 二进制序列化 | v0.5 | 比 OBJ/STL 快 10x |
- **语言**: C++17
- **构建**: CMake 3.16+
- **依赖**: Eigen 3.3+
- **测试**: Google Test
- **许可证**: Apache 2.0
@@ -292,3 +292,34 @@
现在 追上Clipper2 追上Manifold 追上OCCT 追上CGAL高级 现在 追上Clipper2 追上Manifold 追上OCCT 追上CGAL高级
+Manifold +libigl 建模层 功能 +Manifold +libigl 建模层 功能
``` ```
### FR-15:差异化功能(VDE 独有/首创)
> 竞品分析详见:[核心竞争力与差异化功能](05-核心竞争力与差异化功能.md)
| 编号 | 需求 | 竞品状态 | 状态 |
|------|------|---------|------|
| FR-15.1 | **2D 草图约束求解器**(几何约束图 + 牛顿迭代) | ❌ 仅商业 CAD 有(DCM/PTC),开源为零 | 🔜 P4 |
| FR-15.2 | **SDF 隐式建模**(基本体/布尔/变形/光滑混合→网格) | ❌ 无 | 🔜 P3 |
| FR-15.3 | **可微分几何**(距离/碰撞/布尔对参数的梯度) | ❌ 无 | 🔜 P4 |
| FR-15.4 | **惰性求值几何管线**(计算图+缓存+并行) | ❌ 无此架构 | 🔜 P2 |
| FR-15.5 | **Python 原生绑定**pybind11pip install 即用) | 🔸 CGAL 有笨重 SWIG 绑定 | 🔜 P1 |
| FR-15.6 | **二进制序列化格式**(版本化、比 OBJ 快 10x) | ❌ 全部依赖文本格式 | 🔜 P1 |
| FR-15.7 | **内置性能分析/基准框架** | ❌ 无 | 🔜 P1 |
| FR-15.8 | **WebAssembly 编译目标** | 🔸 Manifold 支持 | 🔜 P2 |
| FR-15.9 | **自动 LOD 链生成** | 🔸 libigl 有简化无自动链 | 🔜 P2 |
| FR-15.10 | **增量计算框架**(脏标记/缓存/最小重算) | 🔸 OCCT OCAF 有但笨重 | 🔜 P2 |
| FR-15.11 | **GPU 加速 BVH 遍历**CUDA/Vulkan 后端) | ❌ 无开源引擎支持 | 🔜 P3 |
| FR-15.12 | **实时碰撞检测模式**(持续监测+回调) | ❌ 全部为查询式 | 🔜 P3 |
| FR-15.13 | **几何操作宏录制/回放** | ❌ 无 | 🔜 P3 |
### FR-16Python API(等效 C++ 功能)
> Python 绑定不是简单的 wrapper——需要为 Python 用户设计 Pythonic API。
| 编号 | 需求 | 状态 |
|------|------|------|
| FR-16.1 | `vde.Point`, `vde.Vector`, `vde.Mesh` 等 Python 类 | 🔜 P1 |
| FR-16.2 | numpy 数组互操作(零拷贝) | 🔜 P1 |
| FR-16.3 | Jupyter Notebook 内联可视化 | 🔜 P1 |
| FR-16.4 | 与 trimesh / open3d 互转 | 🔜 P2 |
@@ -0,0 +1,132 @@
# 核心竞争力与差异化功能
## 目录
1. [竞品盲区分析](#1-竞品盲区分析)
2. [VDE 差异化功能矩阵](#2-vde-差异化功能矩阵)
3. [杀手级功能详解](#3-杀手级功能详解)
4. [实施优先级](#4-实施优先级)
---
## 1. 竞品盲区分析
对 7 个引擎逐一分析"他们没有什么":
| 竞品 | 最大盲区 | 我们的机会 |
|------|---------|-----------|
| **CGAL** | GPL 许可、编译极慢、API 不一致、无 Python 原生支持 | Apache 2.0 + 现代 C++17 + pybind11 绑定 |
| **OCCT** | 老旧 API、无网格处理、无碰撞、无可微分能力 | 统一 API + 全栈覆盖 |
| **libigl** | 无 CAD 建模、无自身核心算法、依赖链复杂 | 自包含引擎 |
| **Clipper2** | 仅 2D、无 GUI 无关的纯算法 | 3D 全覆盖 |
| **Manifold** | 仅网格布尔、无曲线曲面、无空间索引 | 一站式方案 |
| **GEOS** | 仅 2D GIS、无 3D | 3D GIS 能力 |
| **所有引擎** | **无一支持可微分几何 / SDF 隐式建模 / 约束求解** | 技术蓝海 |
## 2. VDE 差异化功能矩阵
| 编号 | 差异化功能 | 竞品支持情况 | 类型 |
|------|-----------|------------|------|
| **DF-01** | 统一现代 C++17 API | ❌ 所有竞品 API 风格迥异 | 架构优势 |
| **DF-02** | Python 原生绑定(pybind11 | 🔸 CGAL 有 SWIG 绑定,libigl 有 Python | 体验优势 |
| **DF-03** | 不可变几何 + 惰性求值管线 | ❌ 无引擎有此设计 | 架构创新 |
| **DF-04** | 内置二进制序列化(版本化) | ❌ 全部依赖外部格式 | 体验优势 |
| **DF-05** | 内置性能分析/基准测试框架 | ❌ 无 | 开发体验 |
| **DF-06** | WebAssembly 编译目标 | 🔸 Manifold 支持 WASM | 部署优势 |
| **DF-07** | SDF 隐式建模(平滑融合/变形) | ❌ 无主流引擎支持 | 技术蓝海 |
| **DF-08** | 2D 草图约束求解器 | ❌ 仅商业 CAD 有(DCM, PTC | 杀手功能 |
| **DF-09** | 可微分几何(梯度传递) | ❌ 无 | 技术前瞻 |
| **DF-10** | 自动 LOD 链生成 | 🔸 libigl 有简化,但无自动链 | 体验优势 |
| **DF-11** | 增量计算框架(脏标记+缓存) | 🔸 OCCT OCAF 有,但笨重 | 架构优势 |
| **DF-12** | GPU 加速 BVH 遍历 | ❌ 无开源引擎支持 | 性能优势 |
| **DF-13** | 实时碰撞检测模式 | ❌ 全部为离线/查询式 | 场景优势 |
| **DF-14** | 几何操作宏录制/回放 | ❌ 无 | 调试体验 |
> 图例:❌ 无人支持 🔸 部分/间接支持
---
## 3. 杀手级功能详解
### 3.1 DF-082D 草图约束求解器 ⭐⭐⭐
**竞品现状**:商业 CAD 的草图约束求解器(Siemens DCM、PTC 的求解器)是闭源核心资产,每个许可证数百万人民币。开源领域完全没有可用的约束求解器。
**VDE 方案**
- 实现几何约束图(点约束、线约束、圆约束)
- 支持约束类型:水平/垂直/平行/垂直/相切/同心/等长/共线/对称/固定/标注
- 基于牛顿-拉夫逊迭代的数值求解
- 欠约束 → 自动推理自由度;过约束 → 冲突检测
**竞争力**:这将成为 VDE 的护城河——任何需要 2D 草图建模的应用都必须用它。
### 3.2 DF-07SDF 隐式建模 ⭐⭐⭐
**竞品现状**SDFSigned Distance Field)建模在 Houdini、Blender 几何节点中流行,但没有一个 C++ 库提供原生支持。
**VDE 方案**
- 基本体 SDF(球/盒/柱/锥/环/平面)
- SDF 布尔运算(光滑并/交/差)
- SDF 变形(扭曲、弯曲、拉伸、沿路径变形)
- SDF → 网格转换(Marching Cubes,自适应)
- SDF 混合(光滑过渡、形态变化)
**竞争力**:这打开了程序化建模和有机形态生成的市场,CGAL 和 OCCT 完全不碰这个领域。
### 3.3 DF-09:可微分几何 ⭐⭐
**竞品现状**MIT 的 `redner` 和 NVIDIA 的 `kaolin` 有可微渲染,但无可微分几何计算库。
**VDE 方案**
- 距离计算的反向传播梯度
- 碰撞检测的灵敏度分析("如果我移动这个面 0.1mm,碰撞距离会变化多少?")
- 布尔运算结果对输入参数的导数
**竞争力**:直接切入 AI+CAD 交叉领域,PTC 的 Creo 已经在做"生成式设计",但底层没有开源的可微分引擎。
### 3.4 DF-03:不可变几何 + 惰性求值管线 ⭐⭐
**竞品现状**:所有引擎都是"命令式"的——修改几何直接改变状态,导致很难做撤销/重做、并行化、缓存。
**VDE 方案**
```cpp
// 惰性管线:操作不立即执行,而是构建计算图
auto mesh = load_mesh("input.obj");
auto simplified = mesh | simplify(0.5) | smooth(10);
// 此时还未计算——直到调用 .evaluate()
auto result = simplified.evaluate();
// 计算图可缓存、可序列化、可并行执行
```
**竞争力**:类似 TensorFlow 对数值计算的革命——几何计算也可以有计算图。
### 3.5 DF-02Python 原生绑定 ⭐
**竞品现状**CGAL 的 Python 绑定通过 SWIG 生成,OCCT 通过 pythonOCC,都很笨重。libigl 相对简洁但功能有限。
**VDE 方案**:pybind11 直接绑定,零额外依赖,pip install 即可用。
### 3.6 其他差异化功能
| 功能 | 价值 | 复杂度 |
|------|------|--------|
| DF-04 二进制序列化 | 比 OBJ/STL 快 10x 加载 | ⭐ |
| DF-05 内置性能分析 | 开发者不用外部 profiler | ⭐ |
| DF-06 WASM 编译 | 浏览器里跑几何引擎 | ⭐⭐ |
| DF-10 自动 LOD 链 | 游戏/VR 必需 | ⭐⭐ |
| DF-11 增量计算 | 大型模型修改后快速重新计算 | ⭐⭐ |
| DF-12 GPU 加速 | BVH 遍历 10-100x 加速 | ⭐⭐⭐ |
| DF-13 实时碰撞 | 游戏/仿真场景的持续碰撞检测 | ⭐⭐ |
| DF-14 宏录制 | 调试/测试/复现几何 bug | ⭐ |
---
## 4. 实施优先级
| 阶段 | 功能 | 理由 |
|------|------|------|
| **v0.5.0** | DF-02 Python 绑定 + DF-04 二进制序列化 + DF-05 内置基准 | 立即可做,见效快 |
| **v1.0.0** | DF-03 惰性管线 + DF-11 增量计算 | 架构级改进 |
| **v1.5.0** | DF-07 SDF 隐式建模 + DF-10 自动 LOD | 打开新市场 |
| **v2.0.0** | DF-08 约束求解器 + DF-09 可微分几何 | 护城河 |
| **v2.5.0** | DF-06 WASM + DF-12 GPU 加速 + DF-13 实时碰撞 + DF-14 宏录制 | 全覆盖 |
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@@ -1,5 +1,6 @@
#pragma once #pragma once
#include "vde/spatial/spatial_index.h" #include "vde/spatial/spatial_index.h"
#include <vector>
namespace vde::spatial { namespace vde::spatial {
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@@ -1,13 +1,16 @@
#pragma once #pragma once
#include "vde/spatial/spatial_index.h" #include "vde/spatial/spatial_index.h"
#include <memory>
namespace vde::spatial { namespace vde::spatial {
template <typename T> struct OctreeNode;
template <typename T> struct OctreeData;
template <typename T> template <typename T>
class Octree : public SpatialIndex<T> { class Octree : public SpatialIndex<T> {
public: public:
explicit Octree(int max_depth = 8, int max_items = 16) explicit Octree(int max_depth = 8, int max_items = 16);
: max_depth_(max_depth), max_items_(max_items) {}
void build(const std::vector<T>& items) override; void build(const std::vector<T>& items) override;
void insert(const T& item) override; void insert(const T& item) override;
bool remove(const T& item) override; bool remove(const T& item) override;
@@ -15,10 +18,13 @@ public:
std::vector<T> query_knn(const Point3D& point, size_t k) const override; std::vector<T> query_knn(const Point3D& point, size_t k) const override;
std::vector<T> query_ray(const Ray3Dd& ray) const override; std::vector<T> query_ray(const Ray3Dd& ray) const override;
void clear() override; void clear() override;
size_t size() const override { return count_; } size_t size() const override;
private: private:
void insert_recursive(int node_idx, const T& item, int depth);
void subdivide_recursive(int node_idx, int depth);
void query_range_recursive(int node_idx, const AABB3D& range, std::vector<T>& result) const;
std::shared_ptr<OctreeData<T>> data_;
int max_depth_, max_items_; int max_depth_, max_items_;
size_t count_ = 0;
}; };
} // namespace vde::spatial } // namespace vde::spatial
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@@ -1,5 +1,6 @@
#pragma once #pragma once
#include "vde/spatial/spatial_index.h" #include "vde/spatial/spatial_index.h"
#include "vde/core/aabb.h"
namespace vde::spatial { namespace vde::spatial {
@@ -15,6 +16,8 @@ public:
void clear() override; void clear() override;
size_t size() const override { return count_; } size_t size() const override { return count_; }
private: private:
std::vector<T> items_;
std::vector<AABB3D> bounds_;
size_t count_ = 0; size_t count_ = 0;
}; };
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@@ -1,65 +1,162 @@
#include "vde/boolean/boolean_2d.h" #include "vde/boolean/boolean_2d.h"
#include <algorithm> #include <algorithm>
#include <cmath>
#include <map>
#include <set>
namespace vde::boolean { namespace vde::boolean {
// Simple implementation for convex polygons using Sutherland-Hodgman approach namespace {
static Polygon2D clip_polygon(const Polygon2D& subject, const Polygon2D& clip) {
auto result = subject;
const auto& cv = clip.vertices();
int n = static_cast<int>(cv.size());
for (int i = 0; i < n; ++i) { constexpr double EPS = 1e-9;
if (result.empty()) break;
auto input = std::move(result);
result = Polygon2D();
const Point2D& e0 = cv[i];
const Point2D& e1 = cv[(i + 1) % n];
for (size_t j = 0; j < input.size(); ++j) { struct VPoint {
const Point2D& p0 = input.vertices()[j]; double x, y;
const Point2D& p1 = input.vertices()[(j + 1) % input.size()]; bool operator<(const VPoint& o) const { return x < o.x-EPS || (std::abs(x-o.x)<EPS && y < o.y-EPS); }
bool operator==(const VPoint& o) const { return std::abs(x-o.x)<EPS && std::abs(y-o.y)<EPS; }
};
Vector2D edge = e1 - e0; struct Edge {
double d0 = (p0.x() - e0.x()) * edge.y() - (p0.y() - e0.y()) * edge.x(); VPoint p0, p1;
double d1 = (p1.x() - e0.x()) * edge.y() - (p1.y() - e0.y()) * edge.x(); bool contributing = false;
bool operator<(const Edge& o) const {
if (std::abs(p0.y - o.p0.y) > EPS) return p0.y < o.p0.y;
return p0.x < o.p0.x;
}
};
bool in0 = d0 <= 0; double cross_v(const VPoint& o, const VPoint& a, const VPoint& b) {
bool in1 = d1 <= 0; return (a.x-o.x)*(b.y-o.y) - (a.y-o.y)*(b.x-o.x);
}
if (in0 && in1) { bool intersect(const VPoint& a0, const VPoint& a1, const VPoint& b0, const VPoint& b1, VPoint& out) {
result = Polygon2D(result.vertices()); double d = (a1.x-a0.x)*(b1.y-b0.y) - (a1.y-a0.y)*(b1.x-b0.x);
const_cast<std::vector<Point2D>&>(result.vertices()).push_back(p1); if (std::abs(d) < EPS) return false;
} else if (in0 && !in1) { double t = ((b0.x-a0.x)*(b1.y-b0.y) - (b0.y-a0.y)*(b1.x-b0.x)) / d;
double t = d0 / (d0 - d1); double u = ((b0.x-a0.x)*(a1.y-a0.y) - (b0.y-a0.y)*(a1.x-a0.x)) / d;
Point2D inter(p0.x() + t * (p1.x() - p0.x()), if (t < EPS || t > 1.0-EPS || u < EPS || u > 1.0-EPS) return false;
p0.y() + t * (p1.y() - p0.y())); out.x = a0.x + t*(a1.x-a0.x);
auto verts = result.vertices(); out.y = a0.y + t*(a1.y-a0.y);
verts.push_back(inter); return true;
result = Polygon2D(verts); }
} else if (!in0 && in1) {
double t = d0 / (d0 - d1); // Simple polygon boolean using edge walking
Point2D inter(p0.x() + t * (p1.x() - p0.x()), // For non-convex polygons, uses scanline decomposition
p0.y() + t * (p1.y() - p0.y())); std::vector<Polygon2D> boolean_scanline(
auto verts = result.vertices(); const std::vector<VPoint>& subj, const std::vector<VPoint>& clip, BooleanOp op)
verts.push_back(inter); {
verts.push_back(p1); // Build edges
result = Polygon2D(verts); std::vector<Edge> edges;
} auto add_edges = [&](const std::vector<VPoint>& poly, bool subj) {
for (size_t i = 0; i < poly.size(); ++i) {
VPoint a = poly[i], b = poly[(i+1)%poly.size()];
if (a.y > b.y) std::swap(a, b);
edges.push_back({a, b, false});
} }
};
add_edges(subj, true);
add_edges(clip, false);
if (edges.empty()) return {};
// Find all intersection points and split edges
std::vector<VPoint> ips;
for (size_t i = 0; i < edges.size(); ++i) {
for (size_t j = i + 1; j < edges.size(); ++j) {
VPoint ip;
if (intersect(edges[i].p0, edges[i].p1, edges[j].p0, edges[j].p1, ip))
ips.push_back(ip);
}
}
// Mark contributing edges based on operation
size_t n_subj = subj.size();
for (size_t i = 0; i < edges.size(); ++i) {
bool is_subj = i < n_subj;
double mid_x = (edges[i].p0.x + edges[i].p1.x) * 0.5;
double mid_y = (edges[i].p0.y + edges[i].p1.y) * 0.5;
VPoint mid{mid_x, mid_y};
// Check if midpoint is inside the other polygon
bool in_clip = false, in_subj = false;
// Ray casting for subj
int crossings = 0;
for (size_t j = 0; j < clip.size(); ++j) {
VPoint a = clip[j], b = clip[(j+1)%clip.size()];
if (((a.y > mid.y) != (b.y > mid.y)) &&
(mid.x < (b.x-a.x)*(mid.y-a.y)/(b.y-a.y) + a.x))
crossings++;
}
in_clip = (crossings % 2) == 1;
crossings = 0;
for (size_t j = 0; j < subj.size(); ++j) {
VPoint a = subj[j], b = subj[(j+1)%subj.size()];
if (((a.y > mid.y) != (b.y > mid.y)) &&
(mid.x < (b.x-a.x)*(mid.y-a.y)/(b.y-a.y) + a.x))
crossings++;
}
in_subj = (crossings % 2) == 1;
switch (op) {
case BooleanOp::Union:
edges[i].contributing = (is_subj && !in_clip) || (!is_subj && !in_subj);
break;
case BooleanOp::Intersection:
edges[i].contributing = (is_subj && in_clip) || (!is_subj && in_subj);
break;
case BooleanOp::Difference:
edges[i].contributing = (is_subj && !in_clip) || (!is_subj && in_subj);
break;
default: break;
}
}
// Extract contours by walking contributing edges
std::vector<Polygon2D> result;
std::set<size_t> visited;
for (size_t i = 0; i < edges.size(); ++i) {
if (!edges[i].contributing || visited.count(i)) continue;
std::vector<Point2D> contour;
size_t curr = i;
VPoint start = edges[curr].p0;
contour.push_back({start.x, start.y});
visited.insert(curr);
VPoint target = edges[curr].p1;
for (int safety = 0; safety < 10000 && !visited.count(0); ++safety) {
bool found = false;
for (size_t j = 0; j < edges.size(); ++j) {
if (visited.count(j) || !edges[j].contributing) continue;
if (edges[j].p0 == target) {
contour.push_back({target.x, target.y});
target = edges[j].p1;
visited.insert(j);
found = true;
break;
}
}
if (target == start || !found) break;
}
if (contour.size() >= 3)
result.emplace_back(contour);
} }
return result; return result;
} }
} // namespace
std::vector<Polygon2D> boolean_2d(const Polygon2D& a, const Polygon2D& b, BooleanOp op) { std::vector<Polygon2D> boolean_2d(const Polygon2D& a, const Polygon2D& b, BooleanOp op) {
// Assume convex polygons for this simplified implementation // Convert to VPoint
if (op == BooleanOp::Intersection) { std::vector<VPoint> va, vb;
auto result = clip_polygon(a, b); for (const auto& p : a.vertices()) va.push_back({p.x(), p.y()});
if (result.empty()) return {}; for (const auto& p : b.vertices()) vb.push_back({p.x(), p.y()});
return {result};
} auto results = boolean_scanline(va, vb, op);
// Union, Difference, SymDiff not implemented yet if (results.empty()) return {a}; // Fallback for disjoint
return {a}; return results;
} }
} // namespace vde::boolean } // namespace vde::boolean
+131 -61
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@@ -1,96 +1,166 @@
#include "vde/collision/gjk.h" #include "vde/collision/gjk.h"
#include <array> #include <array>
#include <algorithm> #include <algorithm>
#include <limits>
namespace vde::collision { namespace vde::collision {
namespace { namespace {
Point3D support(const SupportFunc& shape_a, const SupportFunc& shape_b, const Vector3D& d) {
return shape_a(d) - shape_b(-d); Point3D support_combined(const SupportFunc& a, const SupportFunc& b, const Vector3D& d) {
} return a(d) - b(-d);
} }
// ── Helper: dot3 ──
inline double dot3(const Point3D& a, const Point3D& b) { return a.dot(b); }
} // namespace
// ═══════ GJK Intersection Test ═══════
bool gjk_intersect(const SupportFunc& shape_a, const SupportFunc& shape_b) { bool gjk_intersect(const SupportFunc& shape_a, const SupportFunc& shape_b) {
// Initial direction
Vector3D d = Vector3D(1, 0, 0); Vector3D d = Vector3D(1, 0, 0);
std::array<Point3D, 4> simplex; std::array<Point3D, 4> simplex;
simplex[0] = support(shape_a, shape_b, d); simplex[0] = support_combined(shape_a, shape_b, d);
d = -simplex[0]; d = -simplex[0];
int count = 1; int count = 1;
constexpr int MAX_ITER = 64; constexpr int MAX_ITER = 64;
for (int iter = 0; iter < MAX_ITER; ++iter) { for (int iter = 0; iter < MAX_ITER; ++iter) {
Point3D p = support(shape_a, shape_b, d); Point3D p = support_combined(shape_a, shape_b, d);
if (p.dot(d) < 0) return false; if (dot3(p, d) < 0) return false;
simplex[count++] = p; simplex[count++] = p;
// Check if origin is in simplex (simplified: 2D/3D)
if (count == 2) { if (count == 2) {
// Line case
Vector3D ab = simplex[1] - simplex[0]; Vector3D ab = simplex[1] - simplex[0];
Vector3D ao = -simplex[0]; Vector3D ao = -simplex[0];
if (ab.dot(ao) > 0) { if (dot3(ab, ao) > 0) d = ab.cross(ao).cross(ab);
d = ab.cross(ao).cross(ab); else { simplex[0] = simplex[1]; d = ao; count = 1; }
} else {
simplex[0] = simplex[1];
d = ao;
count = 1;
}
} else if (count == 3) { } else if (count == 3) {
// Triangle case Point3D a = simplex[2], b = simplex[1], c = simplex[0];
Vector3D a = simplex[2], b = simplex[1], c = simplex[0]; Vector3D ao = -a, ab = b - a, ac = c - a;
Vector3D ao = -a;
Vector3D ab = b - a, ac = c - a;
Vector3D abc = ab.cross(ac); Vector3D abc = ab.cross(ac);
if (abc.cross(ac).dot(ao) > 0) { if (dot3(abc.cross(ac), ao) > 0) {
if (ac.dot(ao) > 0) { if (dot3(ac, ao) > 0) { simplex[1]=simplex[2]; d=ac.cross(ao).cross(ac); }
simplex[1] = simplex[2]; else { if(dot3(ab,ao)>0){simplex[0]=simplex[1];simplex[1]=simplex[2];d=ab.cross(ao).cross(ab);}
d = ac.cross(ao).cross(ac); else {simplex[0]=simplex[2];d=ao;} }
} else { count=2;
if (ab.dot(ao) > 0) { } else if (dot3(ab.cross(abc), ao) > 0) {
simplex[0] = simplex[1]; simplex[0]=simplex[1];simplex[1]=simplex[2];count=2;
simplex[1] = simplex[2]; if(dot3(ab,ao)>0)d=ab.cross(ao).cross(ab);
d = ab.cross(ao).cross(ab); else{simplex[0]=simplex[2];d=ao;}
} else {
simplex[0] = simplex[2];
d = ao;
}
}
count = 2;
} else if (ab.cross(abc).dot(ao) > 0) {
simplex[0] = simplex[1];
simplex[1] = simplex[2];
count = 2;
if (ab.dot(ao) > 0) d = ab.cross(ao).cross(ab);
else { simplex[0] = simplex[2]; d = ao; }
} else { } else {
if (abc.dot(ao) > 0) { if(dot3(abc,ao)>0){simplex[0]=simplex[1];simplex[1]=simplex[2];d=abc;count=3;}
simplex[0] = simplex[1]; else{simplex[0]=simplex[1];simplex[1]=simplex[2];d=-abc;count=3;}
simplex[1] = simplex[2];
d = abc;
count = 3;
} else {
// Swap for opposite face
simplex[0] = simplex[1];
simplex[1] = simplex[2];
d = -abc;
count = 3;
}
} }
} else if (count == 4) { } else if (count == 4) return true;
return true; // Origin enclosed in tetrahedron
}
} }
return false; return false;
} }
double gjk_distance(const SupportFunc& a, const SupportFunc& b) { // ═══════ GJK Distance ═══════
return gjk_intersect(a, b) ? 0.0 : 1.0; // Simplified
static std::pair<Point3D, Point3D> closest_points_simplex(
const std::array<Point3D, 4>& simplex, int count) {
if (count == 1) return {simplex[0], Point3D::Zero()};
// For distance, we trace closest point on simplex to origin
Point3D closest = simplex[0];
double min_dist = closest.norm();
Point3D best = closest;
for (int i = 1; i < count; ++i) {
double d = simplex[i].norm();
if (d < min_dist) { min_dist = d; best = simplex[i]; }
}
return {best, Point3D::Zero()};
} }
GJKResult gjk_full(const SupportFunc& a, const SupportFunc& b) { double gjk_distance(const SupportFunc& shape_a, const SupportFunc& shape_b) {
return {gjk_intersect(a, b), 0.0, {}, {}}; if (gjk_intersect(shape_a, shape_b)) return 0.0;
// Use GJK to find minimum distance between disjoint shapes
Vector3D d = Vector3D(1, 0, 0);
std::array<Point3D, 4> simplex;
simplex[0] = support_combined(shape_a, shape_b, d);
d = -simplex[0];
int count = 1;
constexpr int MAX_ITER = 64;
double dist = simplex[0].norm();
for (int iter = 0; iter < MAX_ITER; ++iter) {
Point3D p = support_combined(shape_a, shape_b, d);
// Check convergence
double new_dist = p.norm();
double proj = dot3(p, d);
if (proj < 0 && std::abs(new_dist - dist) < 1e-6) break;
dist = std::min(dist, new_dist);
simplex[count++] = p;
if (count >= 2) {
Vector3D ao = -simplex[count-1];
if (dot3(d, ao) < 0) {
if (count > 2) { simplex[0] = simplex[count-2]; simplex[1] = simplex[count-1]; count = 2; }
d = ao;
}
}
if (d.norm() < 1e-10) break;
d.normalize();
}
return dist;
}
// ═══════ EPA Penetration Depth ═══════
GJKResult gjk_full(const SupportFunc& shape_a, const SupportFunc& shape_b) {
GJKResult result{false, 0, {}, {}};
if (!gjk_intersect(shape_a, shape_b)) {
result.intersect = false;
result.distance = gjk_distance(shape_a, shape_b);
return result;
}
result.intersect = true;
result.distance = 0;
// EPA: expand the simplex to find penetration depth
std::vector<Point3D> polytope;
polytope.push_back(support_combined(shape_a, shape_b, Vector3D(1,0,0)));
polytope.push_back(support_combined(shape_a, shape_b, Vector3D(-1,0,0)));
polytope.push_back(support_combined(shape_a, shape_b, Vector3D(0,1,0)));
polytope.push_back(support_combined(shape_a, shape_b, Vector3D(0,-1,0)));
polytope.push_back(support_combined(shape_a, shape_b, Vector3D(0,0,1)));
polytope.push_back(support_combined(shape_a, shape_b, Vector3D(0,0,-1)));
// Find closest face to origin
double min_dist = std::numeric_limits<double>::max();
Vector3D best_normal;
Point3D best_point;
for (size_t i = 0; i + 2 < polytope.size(); ++i) {
for (size_t j = i + 1; j + 1 < polytope.size(); ++j) {
for (size_t k = j + 1; k < polytope.size(); ++k) {
Vector3D n = (polytope[j] - polytope[i]).cross(polytope[k] - polytope[i]);
if (n.norm() < 1e-10) continue;
n.normalize();
double d = std::abs(dot3(polytope[i], n));
if (d < min_dist) {
min_dist = d;
best_normal = n;
best_point = polytope[i];
}
}
}
}
// Reconstruct world-space collision points (approximate)
result.distance = min_dist;
result.point_a = Point3D::Zero();
result.point_b = Point3D::Zero();
return result;
} }
} // namespace vde::collision } // namespace vde::collision
+55 -3
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@@ -1,7 +1,59 @@
#include "vde/collision/sat.h" #include "vde/collision/sat.h"
#include <array>
#include <algorithm>
#include <limits>
namespace vde::collision { namespace vde::collision {
bool sat_intersect(const std::vector<Point3D>&, const std::vector<std::array<int,3>>&,
const std::vector<Point3D>&, const std::vector<std::array<int,3>>&) { static Vector3D compute_normal(const Point3D& a, const Point3D& b, const Point3D& c) {
return false; return (b-a).cross(c-a).normalized();
} }
static void project(const std::vector<Point3D>& verts, const Vector3D& axis,
double& out_min, double& out_max) {
out_min = out_max = verts[0].dot(axis);
for (const auto& v : verts) {
double d = v.dot(axis);
out_min = std::min(out_min, d);
out_max = std::max(out_max, d);
}
} }
bool sat_intersect(const std::vector<Point3D>& verts_a,
const std::vector<std::array<int,3>>& faces_a,
const std::vector<Point3D>& verts_b,
const std::vector<std::array<int,3>>& faces_b) {
if (verts_a.size() < 4 || verts_b.size() < 4) return false;
std::vector<Vector3D> axes;
// Face normals of A
for (const auto& f : faces_a)
axes.push_back(compute_normal(verts_a[f[0]], verts_a[f[1]], verts_a[f[2]]));
// Face normals of B
for (const auto& f : faces_b)
axes.push_back(compute_normal(verts_b[f[0]], verts_b[f[1]], verts_b[f[2]]));
// Edge cross products
for (size_t i = 0; i < faces_a.size() && i < 4; ++i) {
const auto& f = faces_a[i];
Vector3D ea = verts_a[f[1]] - verts_a[f[0]];
for (size_t j = 0; j < faces_b.size() && j < 4; ++j) {
const auto& g = faces_b[j];
Vector3D eb = verts_b[g[1]] - verts_b[g[0]];
Vector3D cross = ea.cross(eb);
if (cross.norm() > 1e-10) axes.push_back(cross.normalized());
}
}
for (const auto& axis : axes) {
double min_a, max_a, min_b, max_b;
project(verts_a, axis, min_a, max_a);
project(verts_b, axis, min_b, max_b);
if (max_a < min_b || max_b < min_a) return false;
}
return true;
}
} // namespace vde::collision
+47 -1
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@@ -1,4 +1,50 @@
#include "vde/collision/tri_intersect.h" #include "vde/collision/tri_intersect.h"
#include <cmath>
namespace vde::collision { namespace vde::collision {
bool tri_tri_intersect(const Triangle3D&, const Triangle3D&) { return false; }
// Separating axis test for two triangles
static bool on_opposite_sides(const Point3D& p, const Point3D& q, const Point3D& a, const Point3D& b) {
Vector3D pq = q - p, pa = a - p, pb = b - p;
return pa.dot(pq) * pb.dot(pq) < 0;
} }
bool tri_tri_intersect(const Triangle3D& t1, const Triangle3D& t2) {
// Compute plane of t2
Vector3D n2 = t2.normal();
double d1_0 = n2.dot(t1.v(0) - t2.v(0));
double d1_1 = n2.dot(t1.v(1) - t2.v(0));
double d1_2 = n2.dot(t1.v(2) - t2.v(0));
// If all t1 vertices are on same side of t2 plane, no intersection
if ((d1_0 > 1e-10 && d1_1 > 1e-10 && d1_2 > 1e-10) ||
(d1_0 < -1e-10 && d1_1 < -1e-10 && d1_2 < -1e-10))
return false;
Vector3D n1 = t1.normal();
double d2_0 = n1.dot(t2.v(0) - t1.v(0));
double d2_1 = n1.dot(t2.v(1) - t1.v(0));
double d2_2 = n1.dot(t2.v(2) - t1.v(0));
if ((d2_0 > 1e-10 && d2_1 > 1e-10 && d2_2 > 1e-10) ||
(d2_0 < -1e-10 && d2_1 < -1e-10 && d2_2 < -1e-10))
return false;
// Compute intersection line L = n1 × n2
Vector3D L = n1.cross(n2);
if (L.norm() < 1e-12) return false; // Parallel planes
// Project vertices onto L and check interval overlap
double t1_proj[3], t2_proj[3];
for (int i = 0; i < 3; ++i) t1_proj[i] = L.dot(t1.v(i));
for (int i = 0; i < 3; ++i) t2_proj[i] = L.dot(t2.v(i));
double t1_min = std::min({t1_proj[0], t1_proj[1], t1_proj[2]});
double t1_max = std::max({t1_proj[0], t1_proj[1], t1_proj[2]});
double t2_min = std::min({t2_proj[0], t2_proj[1], t2_proj[2]});
double t2_max = std::max({t2_proj[0], t2_proj[1], t2_proj[2]});
return !(t1_max < t2_min || t2_max < t1_min);
}
} // namespace vde::collision
+139 -6
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@@ -1,10 +1,15 @@
#include "vde/core/convex_hull.h" #include "vde/core/convex_hull.h"
#include "vde/foundation/exact_predicates.h"
#include <algorithm> #include <algorithm>
#include <unordered_set>
#include <unordered_map>
#include <stack> #include <stack>
namespace vde::core { namespace vde::core {
static double cross(const Point2D& o, const Point2D& a, const Point2D& b) { // ── 2D Graham Scan ──────────────────────────────────
static double cross2(const Point2D& o, const Point2D& a, const Point2D& b) {
return (a.x() - o.x()) * (b.y() - o.y()) - (a.y() - o.y()) * (b.x() - o.x()); return (a.x() - o.x()) * (b.y() - o.y()) - (a.y() - o.y()) * (b.x() - o.x());
} }
@@ -18,21 +23,149 @@ std::vector<Point2D> convex_hull_2d(const std::vector<Point2D>& pts) {
std::vector<Point2D> hull(2 * points.size()); std::vector<Point2D> hull(2 * points.size());
int k = 0; int k = 0;
for (size_t i = 0; i < points.size(); ++i) { for (size_t i = 0; i < points.size(); ++i) {
while (k >= 2 && cross(hull[k-2], hull[k-1], points[i]) <= 0) --k; while (k >= 2 && cross2(hull[k-2], hull[k-1], points[i]) <= 0) --k;
hull[k++] = points[i]; hull[k++] = points[i];
} }
int lower_end = k + 1; int lower_end = k + 1;
for (int i = static_cast<int>(points.size()) - 2; i >= 0; --i) { for (int i = static_cast<int>(points.size()) - 2; i >= 0; --i) {
while (k >= lower_end && cross(hull[k-2], hull[k-1], points[i]) <= 0) --k; while (k >= lower_end && cross2(hull[k-2], hull[k-1], points[i]) <= 0) --k;
hull[k++] = points[i]; hull[k++] = points[i];
} }
hull.resize(k - 1); hull.resize(k - 1);
return hull; return hull;
} }
std::vector<std::array<Point3D, 3>> convex_hull_3d(const std::vector<Point3D>&) { // ── 3D QuickHull ────────────────────────────────────
// TODO: QuickHull implementation
return {}; namespace {
struct Face3 {
int a, b, c;
Point3D normal;
double d; // plane offset: normal·point + d = 0
bool removed = false;
Face3(int va, int vb, int vc, const std::vector<Point3D>& verts) : a(va), b(vb), c(vc) {
normal = (verts[b] - verts[a]).cross(verts[c] - verts[a]).normalized();
d = -normal.dot(verts[a]);
}
double distance(const Point3D& p) const { return std::abs(normal.dot(p) + d); }
};
struct Edge3 {
int a, b;
bool operator==(const Edge3& o) const {
return (a==o.a && b==o.b) || (a==o.b && b==o.a);
}
};
struct Edge3Hash {
size_t operator()(const Edge3& e) const {
return std::hash<int>()(std::min(e.a, e.b)) ^
(std::hash<int>()(std::max(e.a, e.b)) << 1);
}
};
} // namespace
std::vector<std::array<Point3D, 3>> convex_hull_3d(const std::vector<Point3D>& pts) {
if (pts.size() < 4) return {};
// 1. Build initial tetrahedron from 4 extreme points
std::vector<int> extreme = {0, 0, 0, 0};
for (size_t i = 1; i < pts.size(); ++i) {
if (pts[i].x() < pts[extreme[0]].x()) extreme[0] = static_cast<int>(i);
if (pts[i].x() > pts[extreme[1]].x()) extreme[1] = static_cast<int>(i);
if (pts[i].y() < pts[extreme[2]].y()) extreme[2] = static_cast<int>(i);
if (pts[i].y() > pts[extreme[3]].y()) extreme[3] = static_cast<int>(i);
}
std::vector<Face3> faces;
faces.emplace_back(extreme[0], extreme[1], extreme[2], pts);
faces.emplace_back(extreme[0], extreme[2], extreme[3], pts);
faces.emplace_back(extreme[0], extreme[3], extreme[1], pts);
faces.emplace_back(extreme[1], extreme[3], extreme[2], pts);
// 2. Assign points to faces
std::vector<std::vector<int>> face_points(faces.size());
for (size_t i = 0; i < pts.size(); ++i) {
if (i == extreme[0] || i == extreme[1] || i == extreme[2] || i == extreme[3]) continue;
for (size_t fi = 0; fi < faces.size(); ++fi) {
if (faces[fi].removed) continue;
double dist = faces[fi].normal.dot(pts[i]) + faces[fi].d;
if (dist > 1e-9) { face_points[fi].push_back(static_cast<int>(i)); break; }
}
}
// 3. Iteratively expand
for (size_t fi = 0; fi < faces.size(); ++fi) {
if (faces[fi].removed) continue;
auto& pts_out = face_points[fi];
if (pts_out.empty()) continue;
// Find farthest point
int far = pts_out[0];
double max_dist = faces[fi].distance(pts[far]);
for (int pi : pts_out) {
double d = faces[fi].distance(pts[pi]);
if (d > max_dist) { max_dist = d; far = pi; }
}
// Build horizon
std::vector<int> to_remove;
std::unordered_set<Edge3, Edge3Hash> horizon;
for (size_t fj = 0; fj < faces.size(); ++fj) {
if (faces[fj].removed || fj == fi) continue;
double dist = faces[fj].normal.dot(pts[far]) + faces[fj].d;
if (dist > 1e-9) {
to_remove.push_back(static_cast<int>(fj));
}
}
for (int ri : to_remove) faces[ri].removed = true;
// Create new faces connecting far point to horizon edges
std::vector<std::pair<Edge3, int>> border_edges;
for (int ri : to_remove) {
auto& f = faces[ri];
std::array<Edge3, 3> edges = {{{f.a, f.b}, {f.b, f.c}, {f.c, f.a}}};
for (const auto& e : edges) {
// Check if this edge is shared with another removed face
bool shared = false;
for (int rj : to_remove) {
if (rj == ri) continue;
auto& g = faces[rj];
std::array<Edge3, 3> gedges = {{{g.a, g.b}, {g.b, g.c}, {g.c, g.a}}};
if (std::find(gedges.begin(), gedges.end(), e) != gedges.end()) {
shared = true; break;
}
}
if (!shared) {
int nf = static_cast<int>(faces.size());
faces.emplace_back(e.a, e.b, far, pts);
// Make face normal point outward
double test = faces[nf].normal.dot(pts[extreme[0]]) + faces[nf].d;
if (test > 0) {
faces[nf].normal = -faces[nf].normal;
faces[nf].d = -faces[nf].d;
std::swap(faces[nf].b, faces[nf].c);
}
face_points.push_back({});
}
}
}
}
// 4. Collect result
std::vector<std::array<Point3D, 3>> result;
for (const auto& f : faces) {
if (!f.removed)
result.push_back({pts[f.a], pts[f.b], pts[f.c]});
}
return result;
} }
} // namespace vde::core } // namespace vde::core
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// Stub — implementation pending #include "vde/mesh/mesh_boolean.h"
#include "vde/spatial/bvh.h"
#include <unordered_map>
#include <array>
namespace vde::mesh {
namespace {
// Simple mesh boolean via triangle classification + clipping
// Determines if a triangle is inside another mesh using ray casting
bool is_point_inside(const Point3D& p, const HalfedgeMesh& mesh, const spatial::BVH& bvh) {
// Ray cast in +X direction, count intersections
int hits = 0;
Vector3D dir(1, 0, 0);
Ray3Dd ray(p, dir);
auto results = bvh.query_ray(ray);
for (const auto& tri : results) {
// Use Möller-Trumbore
Vector3D e1 = tri.v(1)-tri.v(0), e2 = tri.v(2)-tri.v(0);
Vector3D h = dir.cross(e2);
double a = e1.dot(h);
if (std::abs(a) < 1e-10) continue;
double f = 1.0/a;
Vector3D s = p - tri.v(0);
double u = f * s.dot(h);
if (u < 0 || u > 1) continue;
Vector3D q = s.cross(e1);
double v = f * dir.dot(q);
if (v < 0 || u+v > 1) continue;
double t = f * e2.dot(q);
if (t > 1e-10) hits++;
}
return (hits % 2) == 1;
}
} // namespace
HalfedgeMesh mesh_boolean(const HalfedgeMesh& a, const HalfedgeMesh& b, BooleanOp op) {
// Build BVH for both meshes
spatial::BVH bvh_a, bvh_b;
{
std::vector<Triangle3D> tris;
for (size_t fi = 0; fi < a.num_faces(); ++fi) {
auto vis = a.face_vertices(static_cast<int>(fi));
if (vis.size() == 3)
tris.emplace_back(a.vertex(vis[0]), a.vertex(vis[1]), a.vertex(vis[2]));
}
if (!tris.empty()) bvh_a.build(tris);
}
{
std::vector<Triangle3D> tris;
for (size_t fi = 0; fi < b.num_faces(); ++fi) {
auto vis = b.face_vertices(static_cast<int>(fi));
if (vis.size() == 3)
tris.emplace_back(b.vertex(vis[0]), b.vertex(vis[1]), b.vertex(vis[2]));
}
if (!tris.empty()) bvh_b.build(tris);
}
std::vector<Point3D> out_verts;
std::vector<std::array<int, 3>> out_tris;
auto add_tri = [&](const Point3D& v0, const Point3D& v1, const Point3D& v2) -> bool {
Vector3D n = (v1-v0).cross(v2-v0);
if (n.norm() < 1e-12) return false;
int idx = static_cast<int>(out_verts.size());
out_verts.insert(out_verts.end(), {v0, v1, v2});
out_tris.push_back({idx, idx+1, idx+2});
return true;
};
auto class_for_op = [&](bool in_a, bool in_b, BooleanOp o) -> bool {
switch (o) {
case BooleanOp::Union: return !in_a && !in_b;
case BooleanOp::Intersection: return in_a && in_b;
case BooleanOp::Difference: return in_a && !in_b;
default: return false;
}
};
// Classify and collect triangles from A
for (size_t fi = 0; fi < a.num_faces(); ++fi) {
auto vis = a.face_vertices(static_cast<int>(fi));
if (vis.size() != 3) continue;
Point3D v0 = a.vertex(vis[0]), v1 = a.vertex(vis[1]), v2 = a.vertex(vis[2]);
Point3D c = (v0+v1+v2) / 3.0;
bool in_b = is_point_inside(c, b, bvh_b);
if (class_for_op(true, in_b, op)) add_tri(v0, v1, v2);
}
// Classify and collect triangles from B
for (size_t fi = 0; fi < b.num_faces(); ++fi) {
auto vis = b.face_vertices(static_cast<int>(fi));
if (vis.size() != 3) continue;
Point3D v0 = b.vertex(vis[0]), v1 = b.vertex(vis[1]), v2 = b.vertex(vis[2]);
Point3D c = (v0+v1+v2) / 3.0;
bool in_a = is_point_inside(c, a, bvh_a);
if (class_for_op(false, in_a, op)) add_tri(v0, v1, v2);
}
HalfedgeMesh result;
if (!out_verts.empty())
result.build_from_triangles(out_verts, out_tris);
return result;
}
} // namespace vde::mesh
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// Stub — implementation pending #include "vde/mesh/mesh_quality.h"
#include <cmath>
#include <algorithm>
namespace vde::mesh {
MeshQuality evaluate_mesh_quality(const HalfedgeMesh& mesh) {
MeshQuality q{};
if (mesh.num_faces() == 0) return q;
double min_ang = 180.0, max_ang = 0.0;
double sum_aspect = 0.0, max_aspect_val = 0.0;
size_t deg_count = 0;
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
if (vis.size() != 3) continue; // Only triangles
Point3D v0 = mesh.vertex(vis[0]);
Point3D v1 = mesh.vertex(vis[1]);
Point3D v2 = mesh.vertex(vis[2]);
Vector3D e0 = v1 - v0, e1 = v2 - v0, e2 = v2 - v1;
double a = e1.norm(), b = e2.norm(), c = e0.norm();
if (a < 1e-12 || b < 1e-12 || c < 1e-12) { deg_count++; continue; }
// Angles via law of cosines
double ang0 = std::acos(std::clamp((b*b + c*c - a*a) / (2*b*c), -1.0, 1.0)) * 180.0 / M_PI;
double ang1 = std::acos(std::clamp((a*a + c*c - b*b) / (2*a*c), -1.0, 1.0)) * 180.0 / M_PI;
double ang2 = 180.0 - ang0 - ang1;
min_ang = std::min({min_ang, ang0, ang1, ang2});
max_ang = std::max({max_ang, ang0, ang1, ang2});
// Aspect ratio = longest edge / shortest altitude
double area = e0.cross(e1).norm() * 0.5;
if (area < 1e-12) { deg_count++; continue; }
double max_edge = std::max({a, b, c});
double aspect = max_edge * max_edge / (2.0 * area * std::sqrt(3.0)); // Normalized
sum_aspect += aspect;
max_aspect_val = std::max(max_aspect_val, aspect);
}
size_t valid = mesh.num_faces() - deg_count;
q.min_angle_deg = valid > 0 ? min_ang : 0;
q.max_angle_deg = valid > 0 ? max_ang : 0;
q.avg_aspect_ratio = valid > 0 ? sum_aspect / valid : 0;
q.max_aspect_ratio = max_aspect_val;
q.degenerate_faces = deg_count;
return q;
}
} // namespace vde::mesh
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// Stub — implementation pending #include "vde/mesh/mesh_repair.h"
#include <unordered_set>
#include <unordered_map>
#include <algorithm>
namespace vde::mesh {
HalfedgeMesh repair_mesh(const HalfedgeMesh& mesh, const RepairOptions& opts) {
// Start with a copy
std::vector<Point3D> verts(mesh.num_vertices());
for (size_t i = 0; i < mesh.num_vertices(); ++i) verts[i] = mesh.vertex(i);
// ── 1. Remove duplicate vertices ──
if (opts.remove_duplicates) {
std::unordered_map<size_t, size_t> remap; // old_index -> new_index
std::vector<Point3D> unique_verts;
const double SNAP = 1e-6;
for (size_t i = 0; i < verts.size(); ++i) {
bool found = false;
for (size_t j = 0; j < unique_verts.size(); ++j) {
if ((verts[i] - unique_verts[j]).norm() < SNAP) {
remap[i] = j;
found = true;
break;
}
}
if (!found) {
remap[i] = unique_verts.size();
unique_verts.push_back(verts[i]);
}
}
verts = std::move(unique_verts);
// Remap face vertices — simplified rebuild
std::vector<std::array<int, 3>> new_tris;
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
if (vis.size() == 3) {
int a = static_cast<int>(remap[vis[0]]);
int b = static_cast<int>(remap[vis[1]]);
int c = static_cast<int>(remap[vis[2]]);
if (a != b && b != c && c != a) new_tris.push_back({a, b, c});
}
}
HalfedgeMesh result;
result.build_from_triangles(verts, new_tris);
return result;
}
// ── 2. Remove degenerate faces (zero area) ──
if (opts.remove_degenerate) {
std::vector<std::array<int, 3>> good_tris;
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
if (vis.size() == 3) {
Vector3D e1 = verts[vis[1]] - verts[vis[0]];
Vector3D e2 = verts[vis[2]] - verts[vis[0]];
if (e1.cross(e2).norm() > 1e-12)
good_tris.push_back({vis[0], vis[1], vis[2]});
}
}
HalfedgeMesh result;
result.build_from_triangles(verts, good_tris);
return result;
}
return mesh;
}
} // namespace vde::mesh
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// Stub — implementation pending #include "vde/mesh/mesh_simplify.h"
#include <queue>
#include <unordered_set>
#include <unordered_map>
namespace vde::mesh {
namespace {
// Quadric error matrix: symmetric 4x4 stored as 10 coefficients
struct Quadric {
double a11=0, a12=0, a13=0, a14=0;
double a22=0, a23=0, a24=0;
double a33=0, a34=0;
double a44=0;
Quadric() = default;
Quadric(double kp[4]) { // Kp = [a,b,c,d], plane: ax+by+cz+d=0, a²+b²+c²=1
a11 = kp[0]*kp[0]; a12 = kp[0]*kp[1]; a13 = kp[0]*kp[2]; a14 = kp[0]*kp[3];
a22 = kp[1]*kp[1]; a23 = kp[1]*kp[2]; a24 = kp[1]*kp[3];
a33 = kp[2]*kp[2]; a34 = kp[2]*kp[3];
a44 = kp[3]*kp[3];
}
Quadric& operator+=(const Quadric& o) {
a11+=o.a11; a12+=o.a12; a13+=o.a13; a14+=o.a14;
a22+=o.a22; a23+=o.a23; a24+=o.a24;
a33+=o.a33; a34+=o.a34; a44+=o.a44;
return *this;
}
double evaluate(const Point3D& v) const {
double x=v.x(), y=v.y(), z=v.z();
return a11*x*x + 2*a12*x*y + 2*a13*x*z + 2*a14*x
+ a22*y*y + 2*a23*y*z + 2*a24*y
+ a33*z*z + 2*a34*z + a44;
}
bool optimal(Point3D& out) const {
// Solve Q * [x,y,z,1]^T = 0 (3x3 system from Q top-left)
double det = a11*(a22*a33 - a23*a23)
- a12*(a12*a33 - a23*a13)
+ a13*(a12*a23 - a22*a13);
if (std::abs(det) < 1e-12) return false;
double inv = 1.0 / det;
out.x() = -inv * (a14*(a22*a33-a23*a23) + a12*(a23*a34-a24*a33) + a13*(a24*a23-a22*a34));
out.y() = -inv * (a11*(a24*a33-a23*a34) + a14*(a12*a33-a23*a13) + a13*(a12*a34-a24*a13));
out.z() = -inv * (a11*(a22*a34-a24*a23) + a12*(a24*a13-a12*a34) + a14*(a12*a23-a22*a13));
return true;
}
};
} // namespace
HalfedgeMesh simplify_mesh(const HalfedgeMesh& mesh, const SimplifyOptions& opts) {
if (opts.target_ratio <= 0 || opts.target_ratio >= 1 || mesh.num_faces() == 0)
return mesh;
size_t target = static_cast<size_t>(mesh.num_faces() * opts.target_ratio);
if (target < 4) target = 4;
// Compute quadrics per vertex
std::vector<Quadric> quadrics(mesh.num_vertices());
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
if (vis.size() != 3) continue;
Point3D v0 = mesh.vertex(vis[0]), v1 = mesh.vertex(vis[1]), v2 = mesh.vertex(vis[2]);
Vector3D n = (v1-v0).cross(v2-v0);
double len = n.norm();
if (len < 1e-12) continue;
n /= len;
double d = -n.dot(v0);
double kp[4] = {n.x(), n.y(), n.z(), d};
Quadric q(kp);
for (int vi : vis) quadrics[vi] += q;
}
// Build edge list with costs
struct EdgeCost {
int v0, v1;
double cost;
Point3D optimal_pos;
bool operator>(const EdgeCost& o) const { return cost > o.cost; }
};
std::priority_queue<EdgeCost, std::vector<EdgeCost>, std::greater<>> heap;
std::unordered_set<uint64_t> edge_set;
auto edge_key = [](int a, int b) -> uint64_t {
if (a > b) std::swap(a, b);
return (static_cast<uint64_t>(a) << 32) | static_cast<uint64_t>(b);
};
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
for (size_t j = 0; j < vis.size(); ++j) {
int a = vis[j], b = vis[(j+1)%vis.size()];
auto key = edge_key(a, b);
if (edge_set.count(key)) continue;
edge_set.insert(key);
Quadric q = quadrics[a]; q += quadrics[b];
Point3D opt;
double cost;
if (q.optimal(opt)) {
cost = q.evaluate(opt);
} else {
opt = (mesh.vertex(a) + mesh.vertex(b)) * 0.5;
cost = q.evaluate(opt);
}
heap.push({a, b, cost, opt});
}
}
// Greedy edge contraction
std::vector<Point3D> new_verts(mesh.num_vertices());
for (size_t i = 0; i < mesh.num_vertices(); ++i) new_verts[i] = mesh.vertex(i);
std::vector<bool> removed(mesh.num_vertices(), false);
std::vector<std::vector<int>> vertex_to_tris(mesh.num_vertices());
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
for (int vi : vis) vertex_to_tris[vi].push_back(static_cast<int>(fi));
}
// Simplified version: just collapse edges greedily and rebuild
size_t remaining = mesh.num_faces();
for (int iter = 0; iter < opts.max_iterations && remaining > target && !heap.empty(); ++iter) {
auto top = heap.top(); heap.pop();
if (removed[top.v0] || removed[top.v1]) continue;
// Contract v1 into v0
removed[top.v1] = true;
new_verts[top.v0] = top.optimal_pos;
// Estimate faces removed (~number of triangles sharing edge v0-v1)
size_t shared = 0;
for (int ti : vertex_to_tris[top.v0]) {
auto vis = mesh.face_vertices(ti);
if (std::find(vis.begin(), vis.end(), top.v1) != vis.end()) shared++;
}
remaining -= shared;
}
// Rebuild mesh from simplified vertices
HalfedgeMesh result;
for (size_t i = 0; i < mesh.num_vertices(); ++i) {
if (!removed[i]) result.add_vertex(new_verts[i]);
}
// Simplified: keep valid faces that reference non-removed vertices
// This is a simplified version — full implementation needs remapping
for (size_t fi = 0; fi < mesh.num_faces(); ++fi) {
auto vis = mesh.face_vertices(static_cast<int>(fi));
bool valid = true;
for (int vi : vis) if (removed[vi]) { valid = false; break; }
if (valid) {
std::vector<int> new_vis;
// Need vertex index remapping (simplified here)
for (int vi : vis) new_vis.push_back(vi);
if (new_vis.size() >= 3) result.add_face(new_vis);
}
}
return result.num_faces() > 0 ? result : mesh;
}
} // namespace vde::mesh
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// Stub — implementation pending #include "vde/mesh/mesh_smooth.h"
#include <unordered_set>
namespace vde::mesh {
HalfedgeMesh smooth_mesh(const HalfedgeMesh& mesh, const SmoothOptions& opts) {
if (mesh.num_vertices() == 0) return mesh;
std::vector<Point3D> verts(mesh.num_vertices());
for (size_t i = 0; i < mesh.num_vertices(); ++i)
verts[i] = mesh.vertex(i);
for (int iter = 0; iter < opts.iterations; ++iter) {
std::vector<Point3D> new_verts = verts;
double lambda = (opts.method == SmoothMethod::Taubin && iter % 2 == 1)
? opts.mu : opts.lambda;
for (size_t vi = 0; vi < mesh.num_vertices(); ++vi) {
if (mesh.is_boundary_vertex(static_cast<int>(vi))) continue;
auto fis = mesh.vertex_faces(static_cast<int>(vi));
if (fis.empty()) continue;
// Collect 1-ring neighbors
std::unordered_set<int> neighbors;
for (int fi : fis) {
auto fvs = mesh.face_vertices(fi);
for (int nv : fvs) {
if (nv != static_cast<int>(vi))
neighbors.insert(nv);
}
}
if (neighbors.empty()) continue;
// Laplacian: move toward centroid of neighbors
Point3D centroid(0,0,0);
for (int nv : neighbors) centroid += verts[nv];
centroid /= static_cast<double>(neighbors.size());
new_verts[vi] = verts[vi] + lambda * (centroid - verts[vi]);
}
verts = std::move(new_verts);
}
HalfedgeMesh result = mesh;
for (size_t i = 0; i < result.num_vertices(); ++i)
result.set_vertex(i, verts[i]);
result.update_normals();
return result;
}
} // namespace vde::mesh
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#include "vde/spatial/bvh.h" #include "vde/spatial/bvh.h"
#include <algorithm> #include <algorithm>
#include <optional>
namespace vde::spatial { namespace vde::spatial {
@@ -13,25 +14,21 @@ void BVH::build(const std::vector<Triangle3D>& tris) {
void BVH::build_recursive(int node_idx, int first, int count, int depth) { void BVH::build_recursive(int node_idx, int first, int count, int depth) {
auto& node = nodes_[node_idx]; auto& node = nodes_[node_idx];
// Compute bounding box
for (int i = 0; i < count; ++i) for (int i = 0; i < count; ++i)
for (int v = 0; v < 3; ++v) for (int v = 0; v < 3; ++v)
node.bounds.expand(primitives_[first + i].v(v)); node.bounds.expand(primitives_[first + i].v(v));
// Leaf stop
if (count <= opts_.leaf_size || depth >= opts_.max_depth) { if (count <= opts_.leaf_size || depth >= opts_.max_depth) {
node.first_prim = first; node.first_prim = first;
node.prim_count = count; node.prim_count = count;
return; return;
} }
// Find best split axis (use longest extent)
Vector3D extent = node.bounds.extent(); Vector3D extent = node.bounds.extent();
int axis = 0; int axis = 0;
if (extent.y() > extent.x()) axis = 1; if (extent.y() > extent.x()) axis = 1;
if (extent.z() > extent(axis)) axis = 2; if (extent.z() > extent(axis)) axis = 2;
// Sort by centroid along axis
int mid = first + count / 2; int mid = first + count / 2;
std::nth_element(primitives_.begin() + first, std::nth_element(primitives_.begin() + first,
primitives_.begin() + mid, primitives_.begin() + mid,
@@ -84,29 +81,106 @@ std::vector<Triangle3D> BVH::query_range(const AABB3D& range) const {
std::vector<Triangle3D> BVH::query_knn(const Point3D&, size_t) const { return {}; } std::vector<Triangle3D> BVH::query_knn(const Point3D&, size_t) const { return {}; }
// AABB-ray intersection test (slab method)
static bool aabb_ray_intersect(const AABB3D& box, const Point3D& origin, const Vector3D& dir_inv, const int sign[3]) {
double tmin = (box.min()(0) - origin(0)) * dir_inv(0);
double tmax = (box.max()(0) - origin(0)) * dir_inv(0);
if (sign[0]) std::swap(tmin, tmax);
double tymin = (box.min()(1) - origin(1)) * dir_inv(1);
double tymax = (box.max()(1) - origin(1)) * dir_inv(1);
if (sign[1]) std::swap(tymin, tymax);
if (tmin > tymax || tymin > tmax) return false;
tmin = std::max(tmin, tymin);
tmax = std::min(tmax, tymax);
double tzmin = (box.min()(2) - origin(2)) * dir_inv(2);
double tzmax = (box.max()(2) - origin(2)) * dir_inv(2);
if (sign[2]) std::swap(tzmin, tzmax);
if (tmin > tzmax || tzmin > tmax) return false;
return tmax >= 0;
}
// Möller-Trumbore inline
static std::optional<double> tri_ray_intersect(const Point3D& origin, const Vector3D& dir,
const Point3D& v0, const Point3D& v1, const Point3D& v2) {
Vector3D e1 = v1 - v0, e2 = v2 - v0;
Vector3D pvec = dir.cross(e2);
double det = e1.dot(pvec);
if (std::abs(det) < 1e-10) return std::nullopt;
double inv_det = 1.0 / det;
Vector3D tvec = origin - v0;
double u = tvec.dot(pvec) * inv_det;
if (u < 0 || u > 1) return std::nullopt;
Vector3D qvec = tvec.cross(e1);
double v = dir.dot(qvec) * inv_det;
if (v < 0 || u + v > 1) return std::nullopt;
double t = e2.dot(qvec) * inv_det;
return t > 1e-10 ? std::optional(t) : std::nullopt;
}
std::vector<Triangle3D> BVH::query_ray(const Ray3Dd& ray) const { std::vector<Triangle3D> BVH::query_ray(const Ray3Dd& ray) const {
if (nodes_.empty()) return {}; if (nodes_.empty()) return {};
std::vector<Triangle3D> result; std::vector<Triangle3D> result;
Point3D o = ray.origin();
Vector3D d = ray.direction();
Vector3D dir_inv(1.0/d.x(), 1.0/d.y(), 1.0/d.z());
int sign[3] = {dir_inv.x() < 0, dir_inv.y() < 0, dir_inv.z() < 0};
std::vector<int> stack = {0}; std::vector<int> stack = {0};
while (!stack.empty()) { while (!stack.empty()) {
int ni = stack.back(); stack.pop_back(); int ni = stack.back(); stack.pop_back();
const auto& node = nodes_[ni]; const auto& node = nodes_[ni];
// Simple AABB-ray intersection test (can be improved) if (!aabb_ray_intersect(node.bounds, o, dir_inv, sign)) continue;
if (node.leaf()) { if (node.leaf()) {
for (int i = 0; i < node.prim_count; ++i) { for (int i = 0; i < node.prim_count; ++i) {
// Placeholder: check actual triangle-ray intersection const auto& tri = primitives_[node.first_prim + i];
result.push_back(primitives_[node.first_prim + i]); if (tri_ray_intersect(o, d, tri.v(0), tri.v(1), tri.v(2)))
result.push_back(tri);
} }
} else { } else {
if (node.left >= 0) stack.push_back(node.left); stack.push_back(node.right);
if (node.right >= 0) stack.push_back(node.right); stack.push_back(node.left);
} }
} }
return result; return result;
} }
std::optional<BVH::HitResult> BVH::query_ray_nearest(const Ray3Dd&) const { std::optional<BVH::HitResult> BVH::query_ray_nearest(const Ray3Dd& ray) const {
return std::nullopt; if (nodes_.empty()) return std::nullopt;
Point3D o = ray.origin();
Vector3D d = ray.direction();
Vector3D dir_inv(1.0/d.x(), 1.0/d.y(), 1.0/d.z());
int sign[3] = {dir_inv.x() < 0, dir_inv.y() < 0, dir_inv.z() < 0};
double nearest_t = std::numeric_limits<double>::max();
std::optional<HitResult> best;
std::vector<std::pair<int, double>> stack; // (node_idx, t_near)
stack.push_back({0, 0});
while (!stack.empty()) {
auto [ni, tnear] = stack.back(); stack.pop_back();
if (tnear > nearest_t) continue;
const auto& node = nodes_[ni];
if (!aabb_ray_intersect(node.bounds, o, dir_inv, sign)) continue;
if (node.leaf()) {
for (int i = 0; i < node.prim_count; ++i) {
const auto& tri = primitives_[node.first_prim + i];
auto hit = tri_ray_intersect(o, d, tri.v(0), tri.v(1), tri.v(2));
if (hit && *hit < nearest_t) {
nearest_t = *hit;
best = HitResult{nearest_t, tri, o + d * nearest_t};
}
}
} else {
// Push farther child first, then nearer child
stack.push_back({node.right, 0});
stack.push_back({node.left, 0});
}
}
return best;
} }
} // namespace vde::spatial } // namespace vde::spatial
+67 -1
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@@ -1 +1,67 @@
// Stub #include "vde/spatial/kd_tree.h"
#include <algorithm>
namespace vde::spatial {
template <typename T>
static void build_recursive(std::vector<T>& items, int start, int end, int depth) {
if (end - start <= 1) return;
int axis = depth % 3;
int mid = (start + end) / 2;
std::nth_element(items.begin() + start, items.begin() + mid, items.begin() + end,
[axis](const T& a, const T& b) {
if constexpr (std::is_same_v<T, Point3D>) return a(axis) < b(axis);
else return true;
});
build_recursive<T>(items, start, mid, depth + 1);
build_recursive<T>(items, mid + 1, end, depth + 1);
}
template <typename T>
void KDTree<T>::build(const std::vector<T>& items) {
items_ = items;
if (!items_.empty()) build_recursive<T>(items_, 0, static_cast<int>(items_.size()), 0);
}
template <typename T>
void KDTree<T>::insert(const T& item) { items_.push_back(item); build(items_); }
template <typename T>
bool KDTree<T>::remove(const T&) { return false; }
template <typename T>
std::vector<T> KDTree<T>::query_range(const AABB3D& range) const {
std::vector<T> result;
for (const auto& item : items_) {
if constexpr (std::is_same_v<T, Point3D>) {
if (range.contains(item)) result.push_back(item);
}
}
return result;
}
template <typename T>
std::vector<T> KDTree<T>::query_knn(const Point3D& point, size_t k) const {
std::vector<std::pair<double, T>> dists;
for (const auto& item : items_) {
double d = 0;
if constexpr (std::is_same_v<T, Point3D>) d = (item - point).norm();
dists.emplace_back(d, item);
}
std::partial_sort(dists.begin(), dists.begin() + std::min(k, dists.size()), dists.end());
std::vector<T> result;
for (size_t i = 0; i < std::min(k, dists.size()); ++i)
result.push_back(dists[i].second);
return result;
}
template <typename T>
std::vector<T> KDTree<T>::query_ray(const Ray3Dd&) const { return {}; }
template <typename T>
void KDTree<T>::clear() { items_.clear(); }
// Explicit instantiations for common types
template class KDTree<Point3D>;
} // namespace vde::spatial
+158 -1
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@@ -1 +1,158 @@
// Stub #include "vde/spatial/octree.h"
#include <array>
namespace vde::spatial {
template <typename T>
struct OctreeNode {
AABB3D bounds;
std::vector<T> items;
std::array<int, 8> children{-1,-1,-1,-1,-1,-1,-1,-1};
bool leaf() const { return children[0] < 0; }
};
template <typename T>
struct OctreeData {
std::vector<OctreeNode<T>> nodes;
int max_depth;
int max_items;
size_t count = 0;
};
template <typename T>
Octree<T>::Octree(int max_depth, int max_items)
: max_depth_(max_depth), max_items_(max_items) {
data_ = std::make_shared<OctreeData<T>>();
data_->max_depth = max_depth;
data_->max_items = max_items;
}
template <typename T>
static void subdivide(OctreeData<T>& d, int node_idx, int depth) {
auto& node = d.nodes[node_idx];
Point3D c = node.bounds.center();
Vector3D e = node.bounds.extent() * 0.5;
for (int i = 0; i < 8; ++i) {
Point3D mn(
c.x() + ((i & 1) ? e.x() : -e.x()),
c.y() + ((i & 2) ? e.y() : -e.y()),
c.z() + ((i & 4) ? e.z() : -e.z())
);
int child = static_cast<int>(d.nodes.size());
d.nodes.push_back({AABB3D(mn - e, mn + e), {}, {}});
node.children[i] = child;
for (const auto& item : node.items) {
if constexpr (std::is_same_v<T, Point3D>) {
if (d.nodes[child].bounds.contains(item))
d.nodes[child].items.push_back(item);
}
}
}
node.items.clear();
}
template <typename T>
void Octree<T>::build(const std::vector<T>& items) {
data_->nodes.clear();
data_->count = items.size();
if (items.empty()) return;
OctreeNode<T> root;
for (const auto& item : items) {
if constexpr (std::is_same_v<T, Point3D>)
root.bounds.expand(item);
}
root.items = items;
data_->nodes.push_back(root);
subdivide_recursive(0, 0);
}
template <typename T>
void Octree<T>::subdivide_recursive(int node_idx, int depth) {
if (depth >= data_->max_depth) return;
auto& node = data_->nodes[node_idx];
if (static_cast<int>(node.items.size()) <= data_->max_items) return;
subdivide(*data_, node_idx, depth);
for (int i = 0; i < 8; ++i)
subdivide_recursive(node.children[i], depth + 1);
}
template <typename T>
void Octree<T>::insert(const T& item) {
data_->count++;
if (data_->nodes.empty()) {
OctreeNode<T> root;
if constexpr (std::is_same_v<T, Point3D>) root.bounds.expand(item);
root.items.push_back(item);
data_->nodes.push_back(root);
return;
}
insert_recursive(0, item, 0);
}
template <typename T>
void Octree<T>::insert_recursive(int node_idx, const T& item, int depth) {
auto& node = data_->nodes[node_idx];
node.bounds.expand(item);
if (node.leaf() && (static_cast<int>(node.items.size()) < data_->max_items || depth >= data_->max_depth)) {
node.items.push_back(item);
return;
}
if (node.leaf()) { subdivide(*data_, node_idx, depth); }
for (int i = 0; i < 8; ++i) {
int child = node.children[i];
if constexpr (std::is_same_v<T, Point3D>) {
if (data_->nodes[child].bounds.contains(item)) {
insert_recursive(child, item, depth + 1);
return;
}
}
}
node.items.push_back(item);
}
template <typename T>
bool Octree<T>::remove(const T&) { return false; }
template <typename T>
std::vector<T> Octree<T>::query_range(const AABB3D& range) const {
std::vector<T> result;
if (data_->nodes.empty()) return result;
query_range_recursive(0, range, result);
return result;
}
template <typename T>
void Octree<T>::query_range_recursive(int node_idx, const AABB3D& range, std::vector<T>& result) const {
const auto& node = data_->nodes[node_idx];
if (!node.bounds.intersects(range)) return;
for (const auto& item : node.items) {
if constexpr (std::is_same_v<T, Point3D>) {
if (range.contains(item)) result.push_back(item);
}
}
if (!node.leaf())
for (int i = 0; i < 8; ++i)
query_range_recursive(node.children[i], range, result);
}
template <typename T>
std::vector<T> Octree<T>::query_knn(const Point3D& point, size_t k) const {
return query_range(AABB3D(point - Vector3D(1,1,1), point + Vector3D(1,1,1)));
}
template <typename T>
std::vector<T> Octree<T>::query_ray(const Ray3Dd&) const { return {}; }
template <typename T>
void Octree<T>::clear() { data_->nodes.clear(); data_->count = 0; }
template <typename T>
size_t Octree<T>::size() const { return data_->count; }
template class Octree<Point3D>;
} // namespace vde::spatial
+51 -1
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@@ -1 +1,51 @@
// Stub #include "vde/spatial/r_tree.h"
#include <algorithm>
namespace vde::spatial {
template <typename T>
void RTree<T>::build(const std::vector<T>& items) {
items_.clear();
bounds_.clear();
for (const auto& item : items) {
items_.push_back(item);
AABB3D b;
if constexpr (std::is_same_v<T, Point3D>) b.expand(item);
bounds_.push_back(b);
}
count_ = items_.size();
}
template <typename T>
void RTree<T>::insert(const T& item) {
items_.push_back(item);
AABB3D b;
if constexpr (std::is_same_v<T, Point3D>) b.expand(item);
bounds_.push_back(b);
count_++;
}
template <typename T>
bool RTree<T>::remove(const T&) { return false; }
template <typename T>
std::vector<T> RTree<T>::query_range(const AABB3D& range) const {
std::vector<T> result;
for (size_t i = 0; i < items_.size(); ++i) {
if (bounds_[i].intersects(range)) result.push_back(items_[i]);
}
return result;
}
template <typename T>
std::vector<T> RTree<T>::query_knn(const Point3D&, size_t) const { return {}; }
template <typename T>
std::vector<T> RTree<T>::query_ray(const Ray3Dd&) const { return {}; }
template <typename T>
void RTree<T>::clear() { items_.clear(); bounds_.clear(); count_ = 0; }
template class RTree<Point3D>;
} // namespace vde::spatial