Lähner Z, Rodolà E, Bronstein MM, Cremers D, Burghard O, Cosmo L, Dieckmann A, Klein R, Sahillioǧlu Y (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: Eurographics Association
Pages Range: 55-60
Conference Proceedings Title: Eurographics Workshop on 3D Object Retrieval, EG 3DOR
Event location: Lisbon, PRT
ISBN: 9783038680048
A particularly challenging setting of the shape matching problem arises when the shapes being matched have topological artifacts due to the coalescence of spatially close surface regions - a scenario that frequently occurs when dealing with real data under suboptimal acquisition conditions. This track of the SHREC'16 contest evaluates shape matching algorithms that operate on 3D shapes under synthetically produced topological changes. The task is to produce a pointwise matching (either sparse or dense) between 90 pairs of shapes, representing the same individual in different poses but with different topology. A separate set of 15 shapes with ground-truth correspondence was provided as training data for learning-based techniques and for parameter tuning. Three research groups participated in the contest; this paper presents the track dataset, and describes the different methods and the contest results.
APA:
Lähner, Z., Rodolà, E., Bronstein, M.M., Cremers, D., Burghard, O., Cosmo, L.,... Sahillioǧlu, Y. (2016). SHREC'16: Matching of deformable shapes with topological noise. In Alfredo Ferreira, Daniela Giorgi, Andrea Giachetti (Eds.), Eurographics Workshop on 3D Object Retrieval, EG 3DOR (pp. 55-60). Lisbon, PRT: Eurographics Association.
MLA:
Lähner, Z., et al. "SHREC'16: Matching of deformable shapes with topological noise." Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016, Lisbon, PRT Ed. Alfredo Ferreira, Daniela Giorgi, Andrea Giachetti, Eurographics Association, 2016. 55-60.
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