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3D Human Poses Estimation from a Single 2D Silhouette

Atrevi, Dieudonné Fabrice and Vivet, Damien and Emile, Bruno and Duculty, Florent 3D Human Poses Estimation from a Single 2D Silhouette. (2016) In: Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27 February 2016 - 29 February 2016 (Rome, Italy).

(Document in English)

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Official URL: http://dx.doi.org/10.5220/0005711503610369


This work focuses on the problem of automatically extracting human 3D poses from a single 2D image. By pose we mean the configuration of human bones in order to reconstruct a 3D skeleton representing the 3D posture of the detected human. This problem is highly non-linear in nature and confounds standard regression techniques. Our approach combines prior learned correspondences between silhouettes and skeletons extracted from 3D human models. In order to match detected silhouettes with simulated silhouettes, we used Krawtchouk geometric moment as shape descriptor. We provide quantitative results for image retrieval across different action and subjects, captured from differing viewpoints. We show that our approach gives promising result for 3D pose extraction from a single silhouette.

Item Type:Conference or Workshop Item (Paper)
Additional Information:ISBN: 978-989-758-175-5
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Ecole Nationale Supérieure d'Ingénieurs de Bourges - ENSI Bourges (FRANCE)
Other partners > Université d'Orléans (FRANCE)
Laboratory name:
Deposited On:25 Sep 2017 13:58

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