AbstractFace recognition systems based on elastic graph matching work by comparing the positions and image neighborhoods of a number of detected feature points on faces in input images with those in a database of pre-registered face templates. Such systems can absorb a degree of deformation of input faces due for example to facial expression, but may generate recognition errors if the deformation becomes significantly large. We show that, somewhat counter-intuitively, robustness to facial expressions can be increased by applying random perturbations to the positions of feature points in the database of face templates. We present experimental results on video sequences of people smiling and talking, and discuss the probable origin of the observed effect.
To appear in Proceedings of VLBV'03, Madrid, 18-19 September 2003
Published in Springer-Verlag Lecture Notes in Computer Science series
|A large picture|
|||S. Clippingdale and T. Ito, "A Unified Approach to Video Face Detection, Tracking and Recognition," Proc. International Conference on Image Processing ICIP'99, Kobe, Japan, 1999.|
|||M. Isard and A. Blake, "Contour tracking by stochastic propagation of conditional density," Proc. European Conference on Computer Vision ECCV'96, pp. 343-356, Cambridge, UK, 1996.|
|||L. Wiskott, J-M. Fellous, N. Krger and C. von der Malsburg, "Face Recognition by Elastic Bunch Graph Matching," TR96-08, Institut fr Neuroinformatik, Ruhr-Universitt Bochum, 1996.|
|||K. Okada, J. Steffens, T. Maurer, H. Hong, E. Elagin, H. Neven and C. von der Malsburg, "The Bochum/USC Face Recognition System And How it Fared in the FERET Phase III Test," Face Recognition: From Theory to Applications, eds. H. Wechsler, P.J. Phillips, V. Bruce, F. Fogelman-Sulie and T.S. Huang, Springer-Verlag, 1998.|
|||M. Lyons, S. Akamatsu, "Coding Facial Expressions with Gabor Wavelets,", Proc. Third IEEE International Conference on Automatic Face and Gesture Recognition FG'98, Nara, Japan, 1998.|
|||S. McKenna, S. Gong, R. Wrtz, J. Tanner and D. Banin, "Tracking Facial Feature Points with Gabor Wavelets and Shape Models," Proc. 1st International Conference on Audio- and Video-Based Biometric Person Authentication, Lecture Notes in Computer Science, Springer-Verlag, 1997.|
|||D. Pramadihanto, Y. Iwai and M. Yachida, "Integrated Person Identification and Expression Recognition from Facial Images," IEICE Trans. Information & Systems, Vol. E84-D, 7, pp. 856-866 (2001).|
|||S. Clippingdale and T. Ito, "Partial Automation of Database Acquisition in the FAVRET Face Tracking and Recognition System Using a Bootstrap Approach," Proc. IAPR Workshop on Machine Vision Applications MVA2000, Tokyo, November 2000.|
Simon Clippingdale received the B.Sc. Honours degree in Electronic and Electrical Engineering in 1982 from the University of Birmingham, U.K., and the Ph.D. degree in Computer Science in 1988 from the University of Warwick, U.K. He was a Japanese Government Science & Technology Agency (STA) Research Fellow at NHK Science and Technical Research Laboratories in 1990-91, and after lecturing at the University of Warwick, joined NHK in 1996. Since then he has been with the Human Science Research Division of NHK Science and Technical Research Laboratories, pursuing research on image recognition and vision. He is currently a Senior Research Engineer.
Mahito Fujii obtained a Bachelor's degree in Electrical Engineering in 1981 and a Master's degree in 1983, both from Nagoya University. He joined NHK in 1983 and has been with NHK Science and Technical Research Laboratories since 1987, working on visual biocybernetics, image recognition and 3-D image information processing. From 1998 to 2001 he was with the Human Information Processing (HIP) Laboratories of Advanced Telecommunications Research Institute International (ATR). He is currently a Chief Engineer in the Research Planning and Coordination Division of NHK Science and Technical Research Laboratories.