System for face recognition under expression variations of neutral-sampled individuals using recognized expression warping and a virtual expression-face database
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Author list: Petpairote C., Madarasmi S., Chamnongthai K.
Publisher: Society of Photo-optical Instrumentation Engineers
Publication year: 2018
Journal: Journal of Electronic Imaging (1017-9909)
Volume number: 27
Issue number: 1
ISSN: 1017-9909
eISSN: 1560-229X
Languages: English-Great Britain (EN-GB)
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Abstract
The practical identification of individuals using facial recognition techniques requires the matching of faces with specific expressions to faces from a neutral face database. A method for facial recognition under varied expressions against neutral face samples of individuals via recognition of expression warping and the use of a virtual expression-face database is proposed. In this method, facial expressions are recognized and the input expression faces are classified into facial expression groups. To aid facial recognition, the virtual expression-face database is sorted into average facial-expression shapes and by coarse- and fine-featured facial textures. Wrinkle information is also employed in classification by using a process of masking to adjust input faces to match the expression-face database. We evaluate the performance of the proposed method using the CMU multi-PIE, Cohn-Kanade, and AR expression-face databases, and we find that it provides significantly improved results in terms of face recognition accuracy compared to conventional methods and is acceptable for facial recognition under expression variation. ฉ 2018 SPIE and IS&T.
Keywords
expression face, expression warping, security authentication, virtual expression-face database, warped expression face
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