On the application of the probabilistic linear discriminant analysis to face recognition across expression
Data(s) |
16/04/2012
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Resumo |
Facial expression is one of the main issues of face recognition in uncontrolled environments. In this paper, we apply the probabilistic linear discriminant analysis (PLDA) method to recognize faces across expressions. Several PLDA approaches are tested and cross-evaluated on the Cohn-Kanade and JAFFE databases. With less samples per gallery subject, high recognition rates comparable to previous works have been achieved indicating the robustness of the approaches. Among the approaches, the mixture of PLDAs has demonstrated better performances. The experimental results also indicate that facial regions around the cheeks, eyes, and eyebrows are more discriminative than regions around the mouth, jaw, chin, and nose. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE Computer Society |
Relação |
http://eprints.qut.edu.au/49485/1/ICMEWorkshop2.pdf DOI:10.1109/ICMEW.2012.86 Wibowo, Moh Edi, Tjondronegoro, Dian W., & Zhang, Ligang (2012) On the application of the probabilistic linear discriminant analysis to face recognition across expression. In 2012 IEEE International Conference on Multimedia and Expo Workshops, IEEE Computer Society, Melbourne, Australia, pp. 459-464. |
Direitos |
Copyright 2012 IEEE Computer Society 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Must include either a link to the abstract of the published article in IEEE Xplore, or the article’s Digital Object Identifier (DOI). Reference: http://www.ieee.org/publications_standards/publications/rights/rights_policies.htm |
Fonte |
School of Information Systems; Science & Engineering Faculty |
Palavras-Chave | #face recognition #expression-invariant #probabilistic linear discriminant analysis |
Tipo |
Conference Paper |