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System for face recognition under expression variations of neutral-sampled individuals using recognized expression warping and a virtual expression-face database
Author(s): Chayanut Petpairote; Suthep Madarasmi; Kosin Chamnongthai
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Paper 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.

Paper Details

Date Published: 1 February 2018
PDF: 22 pages
J. Electron. Imag. 27(1) 013014 doi: 10.1117/1.JEI.27.1.013014
Published in: Journal of Electronic Imaging Volume 27, Issue 1
Show Author Affiliations
Chayanut Petpairote, King Mongkut’s Univ. of Technology Thonburi (Thailand)
Suthep Madarasmi, King Mongkut's Univ. of Technology Thonburi (Thailand)
Kosin Chamnongthai, King Mongkut's Univ. of Technology Thonburi (Thailand)

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