Corner detection by a cost minimization approach
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摘要
Corner detection, which is a valuable tool in biological and machine vision systems, is cast as a problem of cost optimization. The cost function is suitably devised to capture different desirable characteristics of corners such as edginess, curvature and region dissimilarity. The geometrical structure of the corner as well as the gray level variation of the image are accounted for in cost factors to evaluate the quality of corner configurations. The cost function is minimized using a simulated annealing algorithm. This approach also provides corner orientations and angles in addition to corner locations. The efficacy of the approach is demonstrated by experimental results.
论文关键词:Corner detection,Cost function,Cost minimization,Simulated annealing
论文评审过程:Received 13 August 1992, Revised 29 January 1993, Accepted 12 February 1993, Available online 19 May 2003.
论文官网地址:https://doi.org/10.1016/0031-3203(93)90208-E