SHREC'16: Partial matching of deformable shapes
Cosmo L, Rodolà E, Bronstein MM, Torsello A, Cremers D, Sahillioǧlu Y (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: Eurographics Association
Pages Range: 61-67
Conference Proceedings Title: Eurographics Workshop on 3D Object Retrieval, EG 3DOR
Event location: Lisbon, PRT
ISBN: 9783038680048
Abstract
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.
Involved external institutions
Università Ca’ Foscari
Italy (IT)
Università della Svizzera italiana (USI)
Switzerland (CH)
Technische Universität München (TUM)
Germany (DE)
Middle East Technical University (METU) / Orta Doğu Teknik Üniversitesi
Turkey (TR)
Italy (IT)
Università della Svizzera italiana (USI)
Switzerland (CH)
Technische Universität München (TUM)
Germany (DE)
Middle East Technical University (METU) / Orta Doğu Teknik Üniversitesi
Turkey (TR)
How to cite
APA:
Cosmo, L., Rodolà, E., Bronstein, M.M., Torsello, A., Cremers, D., & Sahillioǧlu, Y. (2016). SHREC'16: Partial matching of deformable shapes. In Alfredo Ferreira, Daniela Giorgi, Andrea Giachetti (Eds.), Eurographics Workshop on 3D Object Retrieval, EG 3DOR (pp. 61-67). Lisbon, PRT: Eurographics Association.
MLA:
Cosmo, L., et al. "SHREC'16: Partial matching of deformable shapes." Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016, Lisbon, PRT Ed. Alfredo Ferreira, Daniela Giorgi, Andrea Giachetti, Eurographics Association, 2016. 61-67.
BibTeX: Download