BLI: add SVD solver for mat3 (using eigen3).

This commit is contained in:
Bastien Montagne 2015-10-09 20:55:15 +02:00
parent ad5f6a95dd
commit 8159718faf
6 changed files with 129 additions and 0 deletions

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@ -34,8 +34,10 @@ set(SRC
eigen3_capi.h
intern/eigenvalues.cc
intern/svd.cc
intern/eigenvalues.h
intern/svd.h
)
blender_add_lib(extern_eigen3 "${SRC}" "${INC}" "${INC_SYS}")

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@ -28,5 +28,6 @@
#define __EIGEN3_C_API_H__
#include "intern/eigenvalues.h"
#include "intern/svd.h"
#endif /* __EIGEN3_C_API_H__ */

72
extern/Eigen3/intern/svd.cc vendored Normal file
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@ -0,0 +1,72 @@
/*
* ***** BEGIN GPL LICENSE BLOCK *****
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software Foundation,
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*
* The Original Code is Copyright (C) 2015 Blender Foundation.
* All rights reserved.
*
* Contributor(s): Blender Foundation,
* Bastien Montagne
*
* ***** END GPL LICENSE BLOCK *****
*/
#ifndef __EIGEN3_SVD_C_API_CC__
#define __EIGEN3_SVD_C_API_CC__
/* Eigen gives annoying huge amount of warnings here, silence them! */
#ifdef __GNUC__
# pragma GCC diagnostic ignored "-Wlogical-op"
#endif
#include <Eigen/Core>
#include <Eigen/SVD>
#include "svd.h"
using Eigen::JacobiSVD;
using Eigen::NoQRPreconditioner;
using Eigen::ComputeThinU;
using Eigen::ComputeThinV;
using Eigen::MatrixXf;
using Eigen::VectorXf;
using Eigen::Map;
void EG3_svd_square_matrix(const int size, const float *matrix, float *r_U, float *r_S, float *r_V)
{
/* Since our matrix is squared, we can use thinU/V. */
unsigned int flags = (r_U ? ComputeThinU : 0) | (r_V ? ComputeThinV : 0);
/* Blender and Eigen matrices are both column-major. */
JacobiSVD<MatrixXf, NoQRPreconditioner> svd(Map<MatrixXf>((float *)matrix, size, size), flags);
if (r_U) {
Map<MatrixXf>(r_U, size, size) = svd.matrixU();
}
if (r_S) {
Map<VectorXf>(r_S, size) = svd.singularValues();
}
if (r_V) {
Map<MatrixXf>(r_V, size, size) = svd.matrixV();
}
}
#endif /* __EIGEN3_SVD_C_API_CC__ */

40
extern/Eigen3/intern/svd.h vendored Normal file
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@ -0,0 +1,40 @@
/*
* ***** BEGIN GPL LICENSE BLOCK *****
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software Foundation,
* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*
* The Original Code is Copyright (C) 2015 Blender Foundation.
* All rights reserved.
*
* Contributor(s): Blender Foundation,
* Bastien Montagne
*
* ***** END GPL LICENSE BLOCK *****
*/
#ifndef __EIGEN3_SVD_C_API_H__
#define __EIGEN3_SVD_C_API_H__
#ifdef __cplusplus
extern "C" {
#endif
void EG3_svd_square_matrix(const int size, const float *matrix, float *r_U, float *r_S, float *r_V);
#ifdef __cplusplus
}
#endif
#endif /* __EIGEN3_SVD_C_API_H__ */

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@ -46,6 +46,7 @@ extern "C" {
bool BLI_eigen_solve_selfadjoint_m3(const float m3[3][3], float r_eigen_values[3], float r_eigen_vectors[3][3]);
void BLI_svd_m3(const float m3[3][3], float r_U[3][3], float r_S[], float r_V[3][3]);
/**************************** Inline Definitions ******************************/
#if 0 /* None so far. */

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@ -59,3 +59,16 @@ bool BLI_eigen_solve_selfadjoint_m3(const float m3[3][3], float r_eigen_values[3
return EG3_self_adjoint_eigen_solve(3, (const float *)m3, r_eigen_values, (float *)r_eigen_vectors);
}
/**
* \brief Compute the SVD (Singular Values Decomposition) of given 3D matrix (m3 = USV*).
*
* \param m3 the matrix to decompose.
* \return r_U the computed left singular vector of \a m3 (NULL if not needed).
* \return r_S the computed singular values of \a m3 (NULL if not needed).
* \return r_V the computed right singular vector of \a m3 (NULL if not needed).
*/
void BLI_svd_m3(const float m3[3][3], float r_U[3][3], float r_S[3], float r_V[3][3])
{
EG3_svd_square_matrix(3, (const float *)m3, (float *)r_U, (float *)r_S, (float *)r_V);
}