17th International Conference on Pattern Recognition (ICPR'04) - Volume 2
Elastic Face, An Anatomy-Based Biometrics Beyond Visible Cue
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Yong Zhang, University of South Florida, Tampa, FL
Leonid V. Tsap, University of California Lawrence Livermore National Laboratory, Livermore, CA
This paper describes a face recognition method that is designed based on the consideration of anatomical and biomechanical characteristics of facial tissues. Elastic strain pattern inferred from facial expression can reveal an individual's biometric signature associated with the underlying anatomical structure, and thus has the potential for face recognition. A method based on the continuum mechanics in finite element formulation is employed to compute the strain pattern. Experiments show very promising results. The proposed method is quite different from other face recognition methods, and both its advantages and limitations, as well as future research for improvement are discussed.
Citation:
Yong Zhang, Sangeeta J. Kundu, Dmitry B. Goldgof, Sudeep Sarkar, Leonid V. Tsap, "Elastic Face, An Anatomy-Based Biometrics Beyond Visible Cue," icpr, vol. 2, pp.19-22, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 2, 2004