Region-based vs. edge-based registration for 3D motion capture by real time monoscopic vision

Abstract:

3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively optimizing the match between primitives extracted from the model and the images with respect to the model position and joint angles. We extend a previous color-based registration algorithm with a more precise edge-based registration step. We present an experimental analysis of the residual error vs. the computation time and we discuss the balance between both approaches.

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Publication reference:

D. A. Gómez Jáuregui, P. Horain, "Region-based vs. edge-based registration for 3D motion capture by real time monoscopic vision", Computer Vision/Computer Graphics CollaborationTechniques - Proceedings of MIRAGE 2009, May, 4-6 2009, INRIA Rocquencourt, France, A. Gagalowicz and W. Philips (Eds.), LNCS 5496, Springer-Verlag, 2009, pp. 344–355 [doi:10.1007/978-3-642-01811-4_31] [oai:hal.archives-ouvertes.fr:hal-00472609].