UG8.5 NX二次开发 OBB算法获取实体的最小包容盒,C++语言实现
时间: 2023-12-10 21:39:37 浏览: 186
下面是C++语言实现的OBB算法获取实体的最小包容盒的示例代码:
```c++
#include <iostream>
#include <vector>
#include <Eigen/Core>
#include <Eigen/Eigenvalues>
using namespace std;
using namespace Eigen;
Matrix3f computeCovariance(const vector<Vector3f>& points)
{
Vector3f mean = Vector3f::Zero();
for (int i = 0; i < points.size(); ++i) {
mean += points[i];
}
mean /= points.size();
Matrix3f cov = Matrix3f::Zero();
for (int i = 0; i < points.size(); ++i) {
Vector3f p = points[i] - mean;
cov += p * p.transpose();
}
cov /= points.size();
return cov;
}
void computeOBB(const vector<Vector3f>& points, Matrix3f& orientation, Vector3f& center, Vector3f& halfExtents)
{
// Compute covariance matrix
Matrix3f cov = computeCovariance(points);
// Compute eigenvectors and eigenvalues of covariance matrix
SelfAdjointEigenSolver<Matrix3f> eigensolver(cov);
Matrix3f eigenVectors = eigensolver.eigenvectors();
Vector3f eigenValues = eigensolver.eigenvalues();
// Determine orientation of OBB
orientation = eigenVectors;
// Determine center of OBB
center = Vector3f::Zero();
for (int i = 0; i < points.size(); ++i) {
center += points[i];
}
center /= points.size();
center = orientation.transpose() * center;
// Determine half-extents of OBB
halfExtents = Vector3f::Zero();
for (int i = 0; i < points.size(); ++i) {
Vector3f p = orientation.transpose() * (points[i] - center);
halfExtents[0] = max(halfExtents[0], abs(p[0]));
halfExtents[1] = max(halfExtents[1], abs(p[1]));
halfExtents[2] = max(halfExtents[2], abs(p[2]));
}
}
int main()
{
vector<Vector3f> points = { Vector3f(1, 2, 3), Vector3f(4, 5, 6), Vector3f(7, 8, 9) };
Matrix3f orientation;
Vector3f center;
Vector3f halfExtents;
computeOBB(points, orientation, center, halfExtents);
cout << "Orientation:" << endl << orientation << endl;
cout << "Center: " << center.transpose() << endl;
cout << "Half-Extents: " << halfExtents.transpose() << endl;
return 0;
}
```
其中,`computeCovariance`函数用于计算点云的协方差矩阵,`computeOBB`函数用于计算OBB的方向、中心和半轴长度。函数中使用了Eigen库来进行矩阵和向量计算。
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