Expression-invariant Facial Identification

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, 2009, pp. 5151 - 5155
Issue Date:
2009-01
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Facial identification has been recognized as most simple and non-intrusive technology that can be applied in many places. However, there are still many unsolved facial identification problems due to different intra-personal variations. In particular, when images of the databases appear at different facial expressions, most currently available facial recognition approaches encounter the expression-invariant problem in which neutral faces are difficult to be recognized. In this paper, a new approach is proposed to transform facial expressions to neutral-face like images; hence enabling image retrieval systems to robustly identify a persons face for which its learning and testing face images differ in facial expression.
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