The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition
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概要
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Face perception and recognition have attracted more attention recently in multidisciplinary fields such as engineering, psychology, neuroscience, etc. with the advances in physical/physiological measurement and data analysis technologies. In this paper, our main interest is building computational models of human face recognition based on psychological experiments. We specially focus on modeling human face recognition characteristics of average face in the dimension of distinctiveness. Psychological experiments were carried out to measure distinctiveness of face images and their results are explained by computer analysis results of the images. Two psychological experiments, 1) Classical experiment of distinctiveness rating and, 2) Novel experiment of recognition of an average face were performed. In the later experiment, we examined on how the average face of two face images was recognized by a human in a similarity test respect to the original images which were utilized for the calculation of the average face. To explain results of the psychological experiments, eigenface spaces were constructed based on Principal Component Analysis (PCA). Significant correlation was found between human and PCA based computer recognition results. Emulation of human recognition of faces is one of the expected applications of this research.
- The Institute of Electronics, Information and Communication Engineersの論文
著者
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SUZUKI Ryuta
College of Humanities and Sciences, Nihon University
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CHANDRASIRI Naiwala
College of Humanities and Sciences, Nihon University
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WATANABE Nobuyuki
College of Humanities and Sciences, Nihon University
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YAMADA Hiroshi
College of Humanities and Sciences, Nihon University
関連論文
- The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition
- The Effect of Distinctiveness in Recognizing Average Face : Human Recognition and Eigenface Based Machine Recognition