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Multiple depth cameras calibration and body volume reconstruction for gait analysis

Edouard Auvinet 1, 2 Jean Meunier 2 Franck Multon 1, 3 
3 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : In the last decade, gait analysis has become one of the most active research topics in biomedical research engineering partly due to recent development of sensors and signal processing devices and more recently depth cameras. The latters can provide real-time distance measurements of moving objects. In this context, we present a new way to reconstruct body volume in motion using multiple active cameras from the depth maps they provide. A first contribution of this paper is a new and simple external camera calibration method based on several plane intersections observed with a low-cost depth camera which is experimentally validated. A second contribution consists in a body volume reconstruction method based on visual hull that is adapted and enhanced with the use of depth information. Preliminary results based on simulations are presented and compared with classical visual hull reconstruction. These results show that as little as three low-cost depth cameras can recover a more accurate 3D body shape than twenty regular cameras.
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Submitted on : Monday, October 22, 2012 - 9:09:37 PM
Last modification on : Thursday, March 31, 2022 - 3:40:13 AM



Edouard Auvinet, Jean Meunier, Franck Multon. Multiple depth cameras calibration and body volume reconstruction for gait analysis. Information Science, Signal Processing and their Applications (ISSPA) 2012, Jul 2012, Montreal, Canada. ⟨10.1109/ISSPA.2012.6310598⟩. ⟨hal-00744353⟩



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