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Developing rigid motion constraints for the registration of free-form shapes

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3 Author(s)
Yonghuai Liu ; Sch. of Comput. & Manage., Sheffield Hallam Univ., UK ; Rodrigues, Marcos A. ; Ying Wang

We propose a novel method to deal with sphere ambiguity, occlusion, appearance and disappearance of points in image registration. We have developed a number of rigid motion constraints through analysis of geometrical properties of reflected correspondence vectors synthesised into a single coordinate frame. The properties are used as further constraints to eliminate false matches obtained by the iterative closest point criterion. A number of experiments based on both synthetic data and real images demonstrate that the proposed method is accurate, robust, and efficient for the registration of free-form shapes

Published in:

Intelligent Robots and Systems, 2000. (IROS 2000). Proceedings. 2000 IEEE/RSJ International Conference on  (Volume:3 )

Date of Conference:

2000