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- // This file is part of libigl, a simple c++ geometry processing library.
- //
- // Copyright (C) 2013 Alec Jacobson <alecjacobson@gmail.com>
- //
- // This Source Code Form is subject to the terms of the Mozilla Public License
- // v. 2.0. If a copy of the MPL was not distributed with this file, You can
- // obtain one at http://mozilla.org/MPL/2.0/.
- #ifndef IGL_LBS_MATRIX_H
- #define IGL_LBS_MATRIX_H
- #include "igl_inline.h"
- #include <Eigen/Dense>
- #include <Eigen/Sparse>
- namespace igl
- {
- // LBS_MATRIX Linear blend skinning can be expressed by V' = M * T where V' is
- // a #V by dim matrix of deformed vertex positions (one vertex per row), M is a
- // #V by (dim+1)*#T (composed of weights and rest positions) and T is a
- // #T*(dim+1) by dim matrix of #T stacked transposed transformation matrices.
- // See equations (1) and (2) in "Fast Automatic Skinning Transformations"
- // [Jacobson et al 2012]
- //
- // Inputs:
- // V #V by dim list of rest positions
- // W #V+ by #T list of weights
- // Outputs:
- // M #V by #T*(dim+1)
- //
- // In MATLAB:
- // kron(ones(1,size(W,2)),[V ones(size(V,1),1)]).*kron(W,ones(1,size(V,2)+1))
- IGL_INLINE void lbs_matrix(
- const Eigen::MatrixXd & V,
- const Eigen::MatrixXd & W,
- Eigen::MatrixXd & M);
- // LBS_MATRIX construct a matrix that when multiplied against a column of
- // affine transformation entries computes new coordinates of the vertices
- //
- // I'm not sure it makes since that the result is stored as a sparse matrix.
- // The number of non-zeros per row *is* dependent on the number of mesh
- // vertices and handles.
- //
- // Inputs:
- // V #V by dim list of vertex rest positions
- // W #V by #handles list of correspondence weights
- // Output:
- // M #V * dim by #handles * dim * (dim+1) matrix such that
- // new_V(:) = LBS(V,W,A) = reshape(M * A,size(V)), where A is a column
- // vectors formed by the entries in each handle's dim by dim+1
- // transformation matrix. Specifcally, A =
- // reshape(permute(Astack,[3 1 2]),n*dim*(dim+1),1)
- // or A = [Lxx;Lyx;Lxy;Lyy;tx;ty], and likewise for other dim
- // if Astack(:,:,i) is the dim by (dim+1) transformation at handle i
- IGL_INLINE void lbs_matrix_column(
- const Eigen::MatrixXd & V,
- const Eigen::MatrixXd & W,
- Eigen::SparseMatrix<double>& M);
- IGL_INLINE void lbs_matrix_column(
- const Eigen::MatrixXd & V,
- const Eigen::MatrixXd & W,
- Eigen::MatrixXd & M);
- // Same as LBS_MATRIX above but instead of giving W as a full matrix of weights
- // (each vertex has #handles weights), a constant number of weights are given
- // for each vertex.
- //
- // Inputs:
- // V #V by dim list of vertex rest positions
- // W #V by k list of k correspondence weights per vertex
- // WI #V by k list of k correspondence weight indices per vertex. Such that
- // W(j,WI(i)) gives the ith most significant correspondence weight on vertex j
- // Output:
- // M #V * dim by #handles * dim * (dim+1) matrix such that
- // new_V(:) = LBS(V,W,A) = reshape(M * A,size(V)), where A is a column
- // vectors formed by the entries in each handle's dim by dim+1
- // transformation matrix. Specifcally, A =
- // reshape(permute(Astack,[3 1 2]),n*dim*(dim+1),1)
- // or A = [Lxx;Lyx;Lxy;Lyy;tx;ty], and likewise for other dim
- // if Astack(:,:,i) is the dim by (dim+1) transformation at handle i
- //
- IGL_INLINE void lbs_matrix_column(
- const Eigen::MatrixXd & V,
- const Eigen::MatrixXd & W,
- const Eigen::MatrixXi & WI,
- Eigen::SparseMatrix<double>& M);
- IGL_INLINE void lbs_matrix_column(
- const Eigen::MatrixXd & V,
- const Eigen::MatrixXd & W,
- const Eigen::MatrixXi & WI,
- Eigen::MatrixXd & M);
- }
- #ifndef IGL_STATIC_LIBRARY
- #include "lbs_matrix.cpp"
- #endif
- #endif
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