SHREC 16 Matching of Deformable Shapes with Topological Noise

Date

2016-06-15

Author

Lahner, Zorah
Rodola, Emanuele
Bronstein, Michael
Cremers, Daniel
Burghard, Oliver
Cosmo, Andrea
Dieckmann, Alexander
Klein, Reinhard
Sahillioğlu, Yusuf

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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.

URI

https://hdl.handle.net/11511/81037
https://vision.in.tum.de/~laehner/shrec2016/dataset.php
https://user.ceng.metu.edu.tr/~ys/pubs/toponoise-3dor16.pdf

Conference Name

EG 3DOR Workshop, including SHREC'2016, 7 - 08 Mayıs 2016

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

Z. Lahner et al., “SHREC 16 Matching of Deformable Shapes with Topological Noise,” presented at the EG 3DOR Workshop, including SHREC′2016, 7 - 08 Mayıs 2016, 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/81037.