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			43 lines
		
	
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			43 lines
		
	
	
	
		
			1.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| // This file is part of libigl, a simple c++ geometry processing library.
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| // 
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| // Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
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| // 
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| // This Source Code Form is subject to the terms of the Mozilla Public License 
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| // v. 2.0. If a copy of the MPL was not distributed with this file, You can 
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| // obtain one at http://mozilla.org/MPL/2.0/.
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| #ifndef IGL_POLAR_SVD3X3_H
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| #define IGL_POLAR_SVD3X3_H
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| #include <Eigen/Core>
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| #include "igl_inline.h"
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| namespace igl
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| {
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|   // Computes the closest rotation to input matrix A using specialized 3x3 SVD
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|   // singular value decomposition (WunderSVD3x3)
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|   //
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|   // Inputs:
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|   //   A  3 by 3 matrix to be decomposed
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|   // Outputs:
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|   //   R  3 by 3 closest element in SO(3) (closeness in terms of Frobenius
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|   //   metric)
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|   //
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|   //  This means that det(R) = 1. Technically it's not polar decomposition
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|   //  which guarantees positive semidefinite stretch factor (at the cost of
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|   //  having det(R) = -1). "• The orthogonal factors U and V will be true
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|   //  rotation matrices..." [McAdams, Selle, Tamstorf, Teran, Sefakis 2011]
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|   //
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|   template<typename Mat>
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|   IGL_INLINE void polar_svd3x3(const Mat& A, Mat& R);
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|   #ifdef __SSE__
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|   template<typename T>
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|   IGL_INLINE void polar_svd3x3_sse(const Eigen::Matrix<T, 3*4, 3>& A, Eigen::Matrix<T, 3*4, 3> &R);
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|   #endif
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|   #ifdef __AVX__
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|   template<typename T>
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|   IGL_INLINE void polar_svd3x3_avx(const Eigen::Matrix<T, 3*8, 3>& A, Eigen::Matrix<T, 3*8, 3> &R);
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|   #endif
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| }
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| #ifndef IGL_STATIC_LIBRARY
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| #  include "polar_svd3x3.cpp"
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| #endif
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| #endif
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| 
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