Article ID Journal Published Year Pages File Type
527790 Image and Vision Computing 2006 8 Pages PDF
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.

Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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3D Pose estimation of symmetrical objects of unknown shape
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