A correspondence-less approach to matching of deformable shapes
Pokrass J, Bronstein AM, Bronstein MM. 2012. A correspondence-less approach to matching of deformable shapes. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 592–603.
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Conference Paper
| Published
| English
Scopus indexed
Author
Pokrass, Jonathan;
Bronstein, Alex M.ISTA
;
Bronstein, Michael M.

Series Title
LNCS
Abstract
Finding a match between partially available deformable shapes is a challenging problem with numerous applications. The problem is usually approached by computing local descriptors on a pair of shapes and then establishing a point-wise correspondence between the two. In this paper, we introduce an alternative correspondence-less approach to matching fragments to an entire shape undergoing a non-rigid deformation. We use diffusion geometric descriptors and optimize over the integration domains on which the integral descriptors of the two parts match. The problem is regularized using the Mumford-Shah functional. We show an efficient discretization based on the Ambrosio-Tortorelli approximation generalized to triangular meshes. Experiments demonstrating the success of the proposed method are presented.
Publishing Year
Date Published
2012-01-09
Proceedings Title
3rd International Conference on Scale Space and Variational Methods in Computer Vision
Publisher
Springer Nature
Volume
6667
Page
592 - 603
Conference
SSVM: Scale Space and Variational Methods in Computer Vision
Conference Location
Ein-Gedi, Israel
Conference Date
2011-05-29 – 2011-06-02
ISBN
ISSN
eISSN
IST-REx-ID
Cite this
Pokrass J, Bronstein AM, Bronstein MM. A correspondence-less approach to matching of deformable shapes. In: 3rd International Conference on Scale Space and Variational Methods in Computer Vision. Vol 6667. Springer Nature; 2012:592-603. doi:10.1007/978-3-642-24785-9_50
Pokrass, J., Bronstein, A. M., & Bronstein, M. M. (2012). A correspondence-less approach to matching of deformable shapes. In 3rd International Conference on Scale Space and Variational Methods in Computer Vision (Vol. 6667, pp. 592–603). Ein-Gedi, Israel: Springer Nature. https://doi.org/10.1007/978-3-642-24785-9_50
Pokrass, Jonathan, Alex M. Bronstein, and Michael M. Bronstein. “A Correspondence-Less Approach to Matching of Deformable Shapes.” In 3rd International Conference on Scale Space and Variational Methods in Computer Vision, 6667:592–603. Springer Nature, 2012. https://doi.org/10.1007/978-3-642-24785-9_50.
J. Pokrass, A. M. Bronstein, and M. M. Bronstein, “A correspondence-less approach to matching of deformable shapes,” in 3rd International Conference on Scale Space and Variational Methods in Computer Vision, Ein-Gedi, Israel, 2012, vol. 6667, pp. 592–603.
Pokrass J, Bronstein AM, Bronstein MM. 2012. A correspondence-less approach to matching of deformable shapes. 3rd International Conference on Scale Space and Variational Methods in Computer Vision. SSVM: Scale Space and Variational Methods in Computer Vision, LNCS, vol. 6667, 592–603.
Pokrass, Jonathan, et al. “A Correspondence-Less Approach to Matching of Deformable Shapes.” 3rd International Conference on Scale Space and Variational Methods in Computer Vision, vol. 6667, Springer Nature, 2012, pp. 592–603, doi:10.1007/978-3-642-24785-9_50.