Partial matching of deformable shapes

Date

2016-05-08

Author

Cosmo, Luca
Rodola, Emanuele
Bronstein, Michael
Torsello, Andrea
Cremers, Daniel
Sahillioğlu, Yusuf

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Matching deformable 3D shapes under partiality transformations is a challenging problem that has received limited focus in the computer vision and graphics communities. With this benchmark, we explore and thoroughly investigate the robustness of existing matching methods in this challenging task. Participants are asked to provide a point-to-point correspondence (either sparse or dense) between deformable shapes undergoing different kinds of partiality transformations, resulting in a total of 400 matching problems to be solved for each method – making this benchmark the biggest and most challenging of its kind. Five matching algorithms were evaluated in the contest; this paper presents the details of the dataset, the adopted evaluation measures, and shows thorough comparisons among all competing methods

URI

https://hdl.handle.net/11511/83034
http://diglib.eg.org/handle/10.2312/3dor20161089

DOI

https://doi.org/10.2312/3dor.20161089

Conference Name

9th Eurographics Workshop on 3D Object Retrieval, 08 May 2016

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

L. Cosmo, E. Rodola, M. Bronstein, A. Torsello, D. Cremers, and Y. Sahillioğlu, “Partial matching of deformable shapes,” Lisbon, Portekiz, 2016, p. 61, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/83034.