文章基本信息

标题：ハミルトニアンモンテカルロ法によるBayes的顔画像認識
本地全文：下载
作者：松井淳 ; クリピングデルサイモン ; 鵜澤史貴等
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：2005
卷号：59
期号：8
页码：1183-1190
DOI：10.3169/itej.59.1183
出版社：The Institute of Image Information and Television Engineers
摘要：We developed a new algorithm for face recognition using a Bayesian framework. In our algorithm, posterior distributions are computed using a Hamiltonian Monte Carlo method. The face features we used were those used in our previous work based on the elastic graph matching method. While our previous method attempted to optimize facial feature point positions to maximize a similarity function between each model and face region in the input sequence, our new approach evaluates posterior distributions of models conditioned on the input sequence. Experimental results show that our new algorithm out-performs the Eigenface method in terms of both identification errors and processing costs. Our new algorithm eliminates almost all identification errors on sequences showing individuals smiling, although such data was not used in training.
关键词：顔画像認識;可変テンプレートマッチング;表情変化;Bayes的手法;HMC法;ロバスト性