Paper
1 November 1992 Cooperative algorithm for 2D facets extraction using contours and regions
E. Zagrouba, Charlie J. Krey
Author Affiliations +
Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131535
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
The aim of the method presented in this paper is to extract 2-D structural information, called `2-D facets,' in order to compute the 3-D corresponding surfaces. The information obtained by the algorithm is more complete than that obtained by the analysis of characteristic points or segments. The method presented relies on simultaneous analysis of regions and contours. The algorithm first matches the regions of the two images, then a subset of the boundaries of the homologous regions are matched. Finally, the contours detected by an edge extractor are used to improve the previous matching.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. Zagrouba and Charlie J. Krey "Cooperative algorithm for 2D facets extraction using contours and regions", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131535
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Silicon

Computer vision technology

Machine vision

Robot vision

Robots

Image processing

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