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- W1481555577 abstract "Shape modeling is a very important issue for many study, for example, object recognition for robot vision, virtual environment construction, and so on. In this paper, a new method of object modeling from multiple view images using genetic algorithms (GAs) is proposed. In this method, a similarity between model and every input image is calculated, and then the model which has the maximum similarity is found. For fording the model of maximum similarity, genetic algorithms are used as the optimization method. In the genetic algorithm, the sharing scheme is employed for efficient detection of multiple solution, because some shape may be represented by multiple shape models. Some results of modeling experiments from real multiple images demonstrate that the proposed method can robustly generate model by using the GA." @default.
- W1481555577 created "2016-06-24" @default.
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- W1481555577 date "1997-01-01" @default.
- W1481555577 modified "2023-10-16" @default.
- W1481555577 title "Shape modeling from multiple view images using GAs" @default.
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- W1481555577 doi "https://doi.org/10.1007/3-540-63931-4_248" @default.
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