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ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib Hideo Saito and M. Mori Object Modeling from Multiple Images Using Genetic Algorithms ABSTRACT This paper describes about an application of genetic algorithms(GAs) to modeling of multiple object from CCD images. Shape modeling is a very important issue for shape recognition for robot vision, representing 3-D shapes in the virtual world, and so on. In this paper, we propose a method for object modeling from multiple view images using genetic algorithms (GAs). In this method, similarity between the model and the image at each view angle is evaluated. The model having the maximum evaluation is found by GAs. In the proposed method, sharing scheme is used for finding multiple so- lutions eficiently. Some results of object modeling ex- periments from synthetic and real multiple view images demonstrates the proposed method can robustly gener- ate model by using the GA.

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