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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92968


    Title: A Bi-Prototype Theory of Facial Attractiveness
    Authors: Chang, Fu;Chou, Chien-Hsing
    Contributors: 淡江大學電機工程學系
    Date: 2009-03
    Issue Date: 2013-10-29 15:46:58 (UTC+8)
    Publisher: Cambridge: M I T Press
    Abstract: The attractiveness of human faces can be predicted with a high degree of accuracy if we represent the faces as feature vectors and compute their relative distances from two prototypes: the average of attractive faces and the average of unattractive faces. Moreover, the degree of attractiveness, defined in terms of the relative distance, exhibits a high degree of correlation with the average rating scores given by human assessors. These findings motivate a bi-prototype theory that relates facial attractiveness to the averages of attractive and unattractive faces rather than the average of all faces, as previously hypothesized by some researchers.
    Relation: Neural Computation 21(3), pp.890-910
    DOI: 10.1162/neco.2008.07-07-566
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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