Extracting Average Shapes from Occluded Non-rigid Motion

Authors:
Alessio Bue
Affiliations:
Institute for Systems and Robotics, Instituto Superior Tecnico, Lisbon, Portugal
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Year:
2007

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Abstract

This paper presents a method to efficiently estimate average 3-D shapes from non-rigid motion in the case of missing data. Such a shape can be further used to accomplish full reconstruction of deformable objects and registration of non-rigid shapes. The approach is based firstly on a power method which linearly provides an initial estimate of the 3-D structure and motion components of the object shape. Secondly, non-linear optimisation is used to refine the initial linear estimation. Tests on both real and synthetic sequences show the procedure effectiveness in dealing with different degrees of occlusions in the measurements.