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Proceedings Paper

Corner detector for 3D object recognition
Author(s): Andrew K. C. Wong; Qigang Gao
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Paper Abstract

This paper presents an effective corner detector based on perceptual organization and a curve tracking scheme. The detector first finds 2-D corners among the curve partitioning points. It then locates 3-D corners by detecting the terminations of tracked curves intersecting at 2-D corners. It then assigns an attribute value according to its perceptual structure to each detected corner. The corner detector is a very important image analysis component in both 2-D and 3- D vision systems. Experimental results demonstrate its effectiveness and robustness.

Paper Details

Date Published: 1 November 1992
PDF: 8 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131531
Show Author Affiliations
Andrew K. C. Wong, Univ. of Waterloo (Canada)
Qigang Gao, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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