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 for obtaining polyhedral model from multiview 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 finding 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.
|ジャーナル||Proceedings of SPIE - The International Society for Optical Engineering|
|出版ステータス||Published - 1997 12 1|
|イベント||Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III - Pittsburgh, PA, United States|
継続期間: 1997 10 14 → 1997 10 14
ASJC Scopus subject areas
- コンピュータ サイエンスの応用