文章基本信息

标题：遺伝的アルゴリズムを用いた多眼画像からの人物の姿勢のモデルベース推定
本地全文：下载
作者：大谷淳 ; 岸野文郎
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：1997
卷号：51
期号：12
页码：2107-2115
DOI：10.3169/itej.51.2107
出版社：The Institute of Image Information and Television Engineers
摘要：A new method for estimating human posture from multiple images using a genetic algorithm is proposed. In the proposed algorithm, the posture parameters to be estimated are assigned to the genes of an individual in the population. For each individual, its fitness evaluates to what extent the human multiple images synthesized by deforming a 3D human model according to the values of the genes are registered to the real human multiple images. Genetic operations such as natural selection, crossover and mutation are performed so that individuals in the next generation are generated. After a certain number of repetitions of these processes, the estimated parameter values are obtained from the individual with the best fitness. Experiments using multiple synthesized images show promising results for estimating 17 joint angle values for each degree of freedom of the joints and also the three translational and three rotational degrees of freedom.
关键词：多眼画像;姿勢推定;人物像処理;遺伝的アルゴリズム;多自由度;モデルベース