3D Pose estimation of symmetrical objects of unknown shape

Authors:
David W. Penman;Nawar S. Alwesh
Affiliations:
Industrial Research Limited, P.O. Box 2225, Auckland 1001, New Zealand;Industrial Research Limited, P.O. Box 2225, Auckland 1001, New Zealand
Venue:
Image and Vision Computing
Year:
2006

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Abstract

The estimation of the pose of an object is a frequent requirement in computer vision tasks. This paper outlines a method for estimating the pose of an object having a plane of bilateral symmetry but of otherwise unknown shape. The method can operate with a set of 3D range data suffering from self-occlusion, as is obtained from a single viewpoint.