SHREC'17: Deformable shape retrieval with missing parts

E. Rodolà, L. Cosmo, O. Litany, M. M. Bronstein, A. M. Bronstein, N. Audebert, A. Ben Hamza, A. Boulch, U. Castellani, M. N. Do, A. D. Duong, T. Furuya, A. Gasparetto, Y. Hong, J. Kim, B. Le Saux, R. Litman, M. Masoumi, G. Minello, H. D. NguyenV. T. Nguyen, R. Ohbuchi, V. K. Pham, T. V. Phan, M. Rezaei, A. Torsello, M. T. Tran, Q. T. Tran, B. Truong, L. Wan, C. Zou

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Partial similarity problems arise in numerous applications that involve real data acquisition by 3D sensors, inevitably leading to missing parts due to occlusions and partial views. In this setting, the shapes to be retrieved may undergo a variety of transformations simultaneously, such as non-rigid deformations (changes in pose), topological noise, and missing parts - a combination of nuisance factors that renders the retrieval process extremely challenging. With this benchmark, we aim to evaluate the state of the art in deformable shape retrieval under such kind of transformations. The benchmark is organized in two sub-challenges exemplifying different data modalities (3D vs. 2.5D). A total of 15 retrieval algorithms were evaluated in the contest; this paper presents the details of the dataset, and shows thorough comparisons among all competing methods.

Original languageEnglish (US)
Title of host publicationEG 3DOR 2017 - Eurographics 2017 Workshop on 3D Object Retrieval
EditorsMaks Ovsjanikov, Florent Dupont, Ioannis Pratikakis
PublisherEurographics Association
Number of pages10
ISBN (Electronic)9783038680307
StatePublished - 2017
Event10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017 - Lyon, France
Duration: Apr 23 2017Apr 24 2017

Publication series

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


Conference10th Eurographics Workshop on 3D Object Retrieval, 3DOR 2017

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction


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