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This work presents a method for recognition and location of 2D objects in digital images. This method utilizes features extracted from polygonal models of the objects, constructed by an algorithm described in previous work. The strategy used for recognizing the models, depends on whether the respective objects are isolated or superimposed in the image. An analytical discriminant function is used for this task, which expresses the accuracy of the matching between the features extracted from the objects and those extracted from the prototypes stored in the data base. Experimental results are presented for the method and conclusions are drawn.
Síntese de Imagens
Reconhecimento de Padrões
Visualização de Dados
Visão por Computador
Aplicações em Medicina
Modelagem e Visualização
Animação e Multimídia
Processamento de Imagens
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