9th Eurographics Workshop on 3D Object Retrieval, Lisbon, Portugal, 08 May 2016, pp.61-67
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