| #include <Eigen/StdVector> | |
| #include <unsupported/Eigen/BVH> | |
| #include <iostream> | |
| using namespace Eigen; | |
| typedef AlignedBox<double, 2> Box2d; | |
| namespace Eigen { | |
| Box2d bounding_box(const Vector2d &v) { return Box2d(v, v); } // compute the bounding box of a single point | |
| } // namespace Eigen | |
| struct PointPointMinimizer // how to compute squared distances between points and rectangles | |
| { | |
| PointPointMinimizer() : calls(0) {} | |
| typedef double Scalar; | |
| double minimumOnVolumeVolume(const Box2d &r1, const Box2d &r2) { | |
| ++calls; | |
| return r1.squaredExteriorDistance(r2); | |
| } | |
| double minimumOnVolumeObject(const Box2d &r, const Vector2d &v) { | |
| ++calls; | |
| return r.squaredExteriorDistance(v); | |
| } | |
| double minimumOnObjectVolume(const Vector2d &v, const Box2d &r) { | |
| ++calls; | |
| return r.squaredExteriorDistance(v); | |
| } | |
| double minimumOnObjectObject(const Vector2d &v1, const Vector2d &v2) { | |
| ++calls; | |
| return (v1 - v2).squaredNorm(); | |
| } | |
| int calls; | |
| }; | |
| int main() { | |
| typedef std::vector<Vector2d, aligned_allocator<Vector2d> > StdVectorOfVector2d; | |
| StdVectorOfVector2d redPoints, bluePoints; | |
| for (int i = 0; i < 100; ++i) { // initialize random set of red points and blue points | |
| redPoints.push_back(Vector2d::Random()); | |
| bluePoints.push_back(Vector2d::Random()); | |
| } | |
| PointPointMinimizer minimizer; | |
| double minDistSq = std::numeric_limits<double>::max(); | |
| // brute force to find closest red-blue pair | |
| for (int i = 0; i < (int)redPoints.size(); ++i) | |
| for (int j = 0; j < (int)bluePoints.size(); ++j) | |
| minDistSq = std::min(minDistSq, minimizer.minimumOnObjectObject(redPoints[i], bluePoints[j])); | |
| std::cout << "Brute force distance = " << sqrt(minDistSq) << ", calls = " << minimizer.calls << std::endl; | |
| // using BVH to find closest red-blue pair | |
| minimizer.calls = 0; | |
| KdBVH<double, 2, Vector2d> redTree(redPoints.begin(), redPoints.end()), | |
| blueTree(bluePoints.begin(), bluePoints.end()); // construct the trees | |
| minDistSq = BVMinimize(redTree, blueTree, minimizer); // actual BVH minimization call | |
| std::cout << "BVH distance = " << sqrt(minDistSq) << ", calls = " << minimizer.calls << std::endl; | |
| return 0; | |
| } |