ab316deeaa
- Added AVPCL compressor to projects and got it building with VC9 and VC10. - Removed unused command line interface & file read/write code from AVPCL. - Convert AVPCL to use NV vector math lib, asserts, etc. - Convert AVPCL to use double instead of float. - Added 4x4 symmetric eigensolver, for AVPCL; it's based on the existing 3x3 one, but I had to rewrite the Householder reduction stage. As with ZOH, using the eigensolver (instead of SVD) gives a ~25% speedup without significantly affecting RMSE. - Encapsulate ZOH and AVPCL stuff into their own namespaces to keep everything separate. - Added some missing vector operators to the nvmath lib.
51 lines
2.3 KiB
C++
51 lines
2.3 KiB
C++
// This code is in the public domain -- Ignacio Castaño <castano@gmail.com>
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#pragma once
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#ifndef NV_MATH_FITTING_H
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#define NV_MATH_FITTING_H
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#include "Vector.h"
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#include "Plane.h"
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namespace nv
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{
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namespace Fit
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{
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Vector3 computeCentroid(int n, const Vector3 * points);
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Vector3 computeCentroid(int n, const Vector3 * points, const float * weights, const Vector3 & metric);
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Vector4 computeCentroid(int n, const Vector4 * points);
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Vector4 computeCentroid(int n, const Vector4 * points, const float * weights, const Vector4 & metric);
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Vector3 computeCovariance(int n, const Vector3 * points, float * covariance);
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Vector3 computeCovariance(int n, const Vector3 * points, const float * weights, const Vector3 & metric, float * covariance);
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Vector4 computeCovariance(int n, const Vector4 * points, float * covariance);
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Vector4 computeCovariance(int n, const Vector4 * points, const float * weights, const Vector4 & metric, float * covariance);
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Vector3 computePrincipalComponent_PowerMethod(int n, const Vector3 * points);
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Vector3 computePrincipalComponent_PowerMethod(int n, const Vector3 * points, const float * weights, const Vector3 & metric);
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Vector3 computePrincipalComponent_EigenSolver(int n, const Vector3 * points);
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Vector3 computePrincipalComponent_EigenSolver(int n, const Vector3 * points, const float * weights, const Vector3 & metric);
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Vector4 computePrincipalComponent_EigenSolver(int n, const Vector4 * points);
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Vector4 computePrincipalComponent_EigenSolver(int n, const Vector4 * points, const float * weights, const Vector4 & metric);
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Vector3 computePrincipalComponent_SVD(int n, const Vector3 * points);
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Vector4 computePrincipalComponent_SVD(int n, const Vector4 * points);
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Plane bestPlane(int n, const Vector3 * points);
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bool isPlanar(int n, const Vector3 * points, float epsilon = NV_EPSILON);
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bool eigenSolveSymmetric3(const float matrix[6], float eigenValues[3], Vector3 eigenVectors[3]);
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bool eigenSolveSymmetric4(const float matrix[10], float eigenValues[4], Vector4 eigenVectors[4]);
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// Returns number of clusters [1-4].
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int compute4Means(int n, const Vector3 * points, const float * weights, const Vector3 & metric, Vector3 * cluster);
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}
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} // nv namespace
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#endif // NV_MATH_FITTING_H
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