Genetic contour matching
article
Object recognition can be formulated as an optimization problem. The objective function measures for instance the evidential support for any particular projection of the parameterized object contour model onto the input image. A genetic algorithm can be used to find a set of parameters which provide an optimal interpretation of the image in terms of the model. Preliminary test results demon-strate the feasibility of the proposed approach.
Topics
Chamfer metricContour matchingContour modelDistance transformEdge transformGenetic algorithmsObject detectionOptimizationGenetic algorithmsImage analysisMathematical modelsMathematical transformationsOptimizationChamfer metricContour matchingContour modelDistance transformEdge transformObject detectionObject recognition
TNO Identifier
8291
Source
Pattern Recognition Letters, 16(8), pp. 849-856.
Pages
849-856
Files
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