Recovering articulated non-rigid shapes, motions and kinematic chains from video

Authors:
Jingyu Yan;Marc Pollefeys
Affiliations:
Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC;Department of Computer Science, The University of North Carolina at Chapel Hill, Chapel Hill, NC
Venue:
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Year:
2006

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Abstract

We propose an approach to analyze and recover articulated motion with non-rigid parts, e.g. the human body motion with non-rigid facial motion, under affine projection from feature trajectories. We model the motion using a set of intersecting subspaces. Based on this model, we can analyze and recover the articulated motion using subspace methods. Our framework consists of motion segmentation, kinematic chain building, and shape recovery. We test our approach through experiments and demonstrate its potential to recover articulated structure with non-rigid parts via a single-view camera without prior knowledge of its kinematic structure