Facial feature extraction and applications: a review

Authors:
Ying-Ming Wu;Hsueh-Wu Wang;Yen-Ling Lu;Shin Yen;Ying-Tung Hsiao
Affiliations:
Department of Electrical Engineering, Tamkang University, Taipei, Taiwan;Department of Digital Technology Design, National Taipei University of Education, Taipei, Taiwan;Central Personnel Administration, Executive Yuan, Taipei, Taiwan;Department of Computer Science, National Taipei University of Education, Taipei, Taiwan;Department of Digital Technology Design, National Taipei University of Education, Taipei, Taiwan
Venue:
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Year:
2012

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Abstract

Facial feature extraction plays an important step in automated visual interpretation and human face recognition. Detecting facial feature is a crucial role in a wide variety of application such as human computer interface, facial animation and face recognition, etc. The major objective of this paper is to review the recent developments on the methods of facial feature extraction. This study summaries different method for feature point extraction and their applications on face image identification and highlight the performance regarding these methods. The major goal of the paper is to provide a summary reference source for the researchers involved in facial feature extraction.