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A Model-Based Vision System for Industrial Parts
February 1978 (vol. 27 no. 2)
pp. 126-143
W.A. Perkins, Department of Computer Science, Research Laboratories, General Motors Corporation
A vision system has been developed which can determine the position and orientation of complex curved objects in gray-level noisy scenes. The system organizes and reduces the image data from a digitized picture to a compact representation having the appearance of a line drawing. This compact image representation can be used for forming a model under favorable viewing conditions or for locating a part under poor viewing conditions by a matching process that uses a previously formed model. Thus, models are formed automatically by having the program view the part under favorable lighting and background conditions. The compact image representation describes the boundaries of the part.
Index Terms:
vision for industrial parts, Computer vision, image analysis, learning system, model-based vision, pattern recognition, scene analysis
Citation:
W.A. Perkins, "A Model-Based Vision System for Industrial Parts," IEEE Transactions on Computers, vol. 27, no. 2, pp. 126-143, Feb. 1978, doi:10.1109/TC.1978.1675046
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