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Diffstat (limited to 'eigen/unsupported/doc/examples/BVH_Example.cpp')
-rw-r--r-- | eigen/unsupported/doc/examples/BVH_Example.cpp | 52 |
1 files changed, 52 insertions, 0 deletions
diff --git a/eigen/unsupported/doc/examples/BVH_Example.cpp b/eigen/unsupported/doc/examples/BVH_Example.cpp new file mode 100644 index 0000000..6b6fac0 --- /dev/null +++ b/eigen/unsupported/doc/examples/BVH_Example.cpp @@ -0,0 +1,52 @@ +#include <Eigen/StdVector> +#include <unsupported/Eigen/BVH> +#include <iostream> + +using namespace Eigen; +typedef AlignedBox<double, 2> Box2d; + +namespace Eigen { + namespace internal { + Box2d bounding_box(const Vector2d &v) { return Box2d(v, v); } //compute the bounding box of a single point + } +} + +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; +} |