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Proceedings Paper

Three-dimensional object recognition based on 3D invariance
Author(s): Huijuan Yuan; Guohui Qin; Jia Yu
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Paper Abstract

This paper presents a method based on 3D invariant features for the recognition of three-dimensional object. In this method, the projective invariant features are adopted as the representative of the 3D invariance. 3D invariant features are the features that will not change with viewpoints or poses, so they can be used to recognize three-dimensional objects. Exact point-line matching is achieved in use of the point-line characteristics obtained. On this basis, the views relation is established by the 2D projective transformation, and many kinds of 3D invariant features of complicated spatial structures can be neatly extracted by combining real elements and virtual elements. Therefore the three-dimensional object can be recognized. The results indicate that the method could greatly satisfy three-dimensional object recognition.

Paper Details

Date Published: 12 January 2009
PDF: 7 pages
Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71331U (12 January 2009); doi: 10.1117/12.808437
Show Author Affiliations
Huijuan Yuan, Harbin Univ. of Science and Technology (China)
Guohui Qin, Harbin Univ. of Science and Technology (China)
Jia Yu, Harbin Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7133:
Fifth International Symposium on Instrumentation Science and Technology
Jiubin Tan; Xianfang Wen, Editor(s)

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