Edge replacement in the recognition of occluded objects
作者： Julian R Ullmann
DOI: 10.1016/0031-3203(93)90175-V
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摘要: Abstract The Generalized Hough Transform recognizes objects more successfully when all edges are visible. To facilitate recognition, this paper introduces a preliminary process that restores which were invisible because of occlusion or lack contrast between occluding and occluded areas. Space time complexity processes reduced by chained hashing techniques. Experimental results show recognition via is improved if first recognized subtracted out the input picture, then reconstructed prior to objects.
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