Shrec'16 Track: Retrieval of Human Subjects from Depth Sensor Data
Giachetti A, Fornasa F, Parezzan F, Saletti A, Zambaldo L, Zanini L, Achilles F, Ichim AE, Tombari F, Navab N, Velasco-Forero S (2016)
Publication Type: Conference contribution
Publication year: 2016
Publisher: Eurographics Association
Book Volume: 2016-January
Pages Range: 41-46
Conference Proceedings Title: Eurographics Workshop on 3D Object Retrieval, EG 3DOR
Event location: Lisbon, PRT
Abstract
In this paper we report the results of the SHREC 2016 contest on "Retrieval of human subjects from depth sensor data". The proposed task was created in order to verify the possibility of retrieving models of query human subjects from single shots of depth sensors, using shape information only. Depth acquisition of different subjects were realized under different illumination conditions, using different clothes and in three different poses. The resulting point clouds of the partial body shape acquisitions were segmented and coupled with the skeleton provided by the OpenNI software and provided to the participants together with derived triangulated meshes. No color information was provided. Retrieval scores of the different methods proposed were estimated on the submitted dissimilarity matrices and the influence of the different acquisition conditions on the algorithms were also analyzed. Results obtained by the participants and by the baseline methods demonstrated that the proposed task is, as expected, quite difficult, especially due the partiality of the shape information and the poor accuracy of the estimated skeleton, but give useful insights on potential strategies that can be applied in similar retrieval procedures and derived practical applications. Eurographics Proceedingsc 2016 The Eurographics Association.
Involved external institutions
University of Verona / Università degli Studi di Verona
Italy (IT)
Technische Universität München (TUM)
Germany (DE)
École Polytechnique Fédérale de Lausanne (EPFL)
Switzerland (CH)
Mines ParisTech / École Nationale Supérieure des Mines de Paris (ENSMP)
France (FR)
Italy (IT)
Technische Universität München (TUM)
Germany (DE)
École Polytechnique Fédérale de Lausanne (EPFL)
Switzerland (CH)
Mines ParisTech / École Nationale Supérieure des Mines de Paris (ENSMP)
France (FR)
How to cite
APA:
Giachetti, A., Fornasa, F., Parezzan, F., Saletti, A., Zambaldo, L., Zanini, L.,... Velasco-Forero, S. (2016). Shrec'16 Track: Retrieval of Human Subjects from Depth Sensor Data. In Eurographics Workshop on 3D Object Retrieval, EG 3DOR (pp. 41-46). Lisbon, PRT: Eurographics Association.
MLA:
Giachetti, A., et al. "Shrec'16 Track: Retrieval of Human Subjects from Depth Sensor Data." Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 3DOR 2016, Lisbon, PRT Eurographics Association, 2016. 41-46.
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