Recursive Shape and Pose Determination Using Deformable Model

Authors:
Kevin Bailly;Maurice Milgram
Affiliations:
UPMC Univ Paris 06, Paris, France F-75005 and CNRS, FRE 2507, ISIR, Institut des Systèmes Intelligents et de Robotique, Paris, France F-75005;UPMC Univ Paris 06, Paris, France F-75005 and CNRS, FRE 2507, ISIR, Institut des Systèmes Intelligents et de Robotique, Paris, France F-75005
Venue:
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Year:
2008

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Abstract

This paper adresses the problem of estimating shape and pose parameters of a 3D-non-rigid model from a single image. We introduce a new fast and robust method to minimize reprojection error between 3D model and feature image points. For this purpose, a recursive process is proposed. First, pose is roughly approximated using a rigid model. This permits to analytically determine shape parameters. Pose and shape are updated in an iterative way. Tests carried out on both synthetic and real data using the CANDIDE-3 parameterized mesh[1] are very promising.