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Main Authors: Kovnatsky, A., Bronstein, M. M., Bronstein, A. M., Glashoff, K., Kimmel, R.
Format: Preprint
Published: 2012
Subjects:
Online Access:https://arxiv.org/abs/1210.0026
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author Kovnatsky, A.
Bronstein, M. M.
Bronstein, A. M.
Glashoff, K.
Kimmel, R.
author_facet Kovnatsky, A.
Bronstein, M. M.
Bronstein, A. M.
Glashoff, K.
Kimmel, R.
contents The use of Laplacian eigenbases has been shown to be fruitful in many computer graphics applications. Today, state-of-the-art approaches to shape analysis, synthesis, and correspondence rely on these natural harmonic bases that allow using classical tools from harmonic analysis on manifolds. However, many applications involving multiple shapes are obstacled by the fact that Laplacian eigenbases computed independently on different shapes are often incompatible with each other. In this paper, we propose the construction of common approximate eigenbases for multiple shapes using approximate joint diagonalization algorithms. We illustrate the benefits of the proposed approach on tasks from shape editing, pose transfer, correspondence, and similarity.
format Preprint
id arxiv_https___arxiv_org_abs_1210_0026
institution arXiv
publishDate 2012
record_format arxiv
spellingShingle Coupled quasi-harmonic bases
Kovnatsky, A.
Bronstein, M. M.
Bronstein, A. M.
Glashoff, K.
Kimmel, R.
Computer Vision and Pattern Recognition
Graphics
The use of Laplacian eigenbases has been shown to be fruitful in many computer graphics applications. Today, state-of-the-art approaches to shape analysis, synthesis, and correspondence rely on these natural harmonic bases that allow using classical tools from harmonic analysis on manifolds. However, many applications involving multiple shapes are obstacled by the fact that Laplacian eigenbases computed independently on different shapes are often incompatible with each other. In this paper, we propose the construction of common approximate eigenbases for multiple shapes using approximate joint diagonalization algorithms. We illustrate the benefits of the proposed approach on tasks from shape editing, pose transfer, correspondence, and similarity.
title Coupled quasi-harmonic bases
topic Computer Vision and Pattern Recognition
Graphics
url https://arxiv.org/abs/1210.0026