Face Recognition by Computers and Humans

This article talks about how the study of how humans perceive faces can be used to help design practical systems for face recognition. Besides applications related to identification and verification-such as access control, law enforcement, ID and licensing, and surveillance-face recognition has also proven useful in applications such as human-computer interaction, virtual reality, database retrieval, multimedia, and computer entertainment. Continuing research into face recognition will provide scientists and engineers with many vital projects, in areas such as homeland security, human-computer interaction, and numerous consumer applications. The areas we are considering pursuing are recognition from unconstrained video sequences, incorporating familiarity into algorithms, modeling effects of aging, and developing biologically plausible models for human face recognition ability.

[1]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[2]  Rama Chellappa,et al.  Computational methods for modeling facial aging: A survey , 2009, J. Vis. Lang. Comput..

[3]  Thomas Vetter,et al.  Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[5]  Alice J. O'Toole,et al.  FRVT 2006 and ICE 2006 large-scale results , 2007 .

[6]  Pawan Sinha,et al.  Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About , 2006, Proceedings of the IEEE.

[7]  Yajie Tian,et al.  Handbook of face recognition , 2003 .

[8]  Narendra Ahuja,et al.  Detecting Faces in Images: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Arun Ross,et al.  Handbook of Multibiometrics , 2006, The Kluwer international series on biometrics.

[10]  Rama Chellappa,et al.  Face Processing: Advanced Modeling and Methods , 2006, J. Electronic Imaging.

[11]  P. Ekman,et al.  What the face reveals : basic and applied studies of spontaneous expression using the facial action coding system (FACS) , 2005 .

[12]  Hyeonjoon Moon,et al.  The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  A. Albert,et al.  A review of the literature on the aging adult skull and face: implications for forensic science research and applications. , 2007, Forensic science international.