Corner detector for 3D object recognition

Andrew K. C. Wong; Qigang Gao

doi:10.1117/12.131531

1 November 1992 Corner detector for 3D object recognition

Andrew K. C. Wong, Qigang Gao

Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131531
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Andrew K. C. Wong and Qigang Gao "Corner detector for 3D object recognition", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131531

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