SHREC'16: Partial matching of deformable shapes

L. Cosmo, E. Rodolà, M. M. Bronstein, A. Torsello, D. Cremers, Y. Sahillioǧlu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationEG 3DOR 2016 - Eurographics 2016 Workshop on 3D Object Retrieval
EditorsAlfredo Ferreira, Daniela Giorgi, Andrea Giachetti
PublisherEurographics Association
Number of pages7
ISBN (Electronic)9783038680048
StatePublished - 2016
Externally publishedYes
Event9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016 - Lisbon, Portugal
Duration: 8 May 2016 → …

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471


Conference9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016
Period8/05/16 → …


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