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