Computing temporal alignments of human motion sequences in wide clothing using geodesic patches

Aurela Shehu 1, 2 Jinlong Yang 1 Jean-Sébastien Franco 1 Franck Hétroy-Wheeler 1 Stefanie Wuhrer 1
1 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper, we address the problem of temporal alignment of surfaces for subjects dressed in wide clothing, as acquired by calibrated multi-camera systems. Most existing methods solve the alignment by fitting a single surface template to each instant's 3D observations, relying on a dense point-to-point correspondence scheme, e.g. by matching individual surface points based on local geometric features or proximity. The wide clothing situation yields more geometric and topological difficulties in observed sequences, such as apparent merging of surface components, misreconstructions, and partial surface observation, resulting in overly sparse, erroneous point-to-point correspondences, and thus alignment failures. To resolve these issues, we propose an alignment framework where point-to-point correspondences are obtained by growing isometric patches from a set of reliably obtained body landmarks. This correspondence decreases the reliance on local geometric features subject to instability, instead emphasizing the surface neighborhood coherence of matches, while improving density given sufficient landmark coverage. We validate and verify the resulting improved alignment performance in our experiments.
Type de document :
Communication dans un congrès
3DV 2016 - International Conference on 3D Vision 2016, Oct 2016, Stanford, United States. IEEE, pp.185-193, 2016, <10.1109/3DV.2016.27>
Liste complète des métadonnées



https://hal.inria.fr/hal-01367791
Contributeur : Jinlong Yang <>
Soumis le : mardi 8 novembre 2016 - 09:50:58
Dernière modification le : vendredi 3 février 2017 - 11:49:15
Document(s) archivé(s) le : mardi 14 mars 2017 - 23:54:44

Licence


Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Pas de modification 4.0 International License

Identifiants

Collections

Citation

Aurela Shehu, Jinlong Yang, Jean-Sébastien Franco, Franck Hétroy-Wheeler, Stefanie Wuhrer. Computing temporal alignments of human motion sequences in wide clothing using geodesic patches. 3DV 2016 - International Conference on 3D Vision 2016, Oct 2016, Stanford, United States. IEEE, pp.185-193, 2016, <10.1109/3DV.2016.27>. <hal-01367791>

Partager

Métriques

Consultations de
la notice

416

Téléchargements du document

362