Cooperative algorithm for 2D facets extraction using contours and     regions

E. Zagrouba; Charlie J. Krey

doi:10.1117/12.131535

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1 November 1992 Cooperative algorithm for 2D facets extraction using contours and regions

E. Zagrouba; Charlie J. Krey

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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.

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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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KEYWORDS

Image segmentation

Silicon

Computer vision technology

Machine vision

Robot vision

Robots

Image processing

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