Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Facial Expression Biometrics Using Statistical Shape Models | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 261542 17 pages doi 2009 261542 Research Article Facial Expression Biometrics Using Statistical Shape Models Wei Quan Bogdan J. Matuszewski EURASIP Member Lik-Kwan Shark and Djamel Ait-Boudaoud Applied Digital Signal and Image Processing Research Centre University of Central Lancashire Preston PR1 2HE UK Correspondence should be addressed to Bogdan J. Matuszewski bmatuszewski1@ Received 30 September 2008 Revised 2 April 2009 Accepted 18 August 2009 Recommended by Jonathon Phillips This paper describes a novel method for representing different facial expressions based on the shape space vector SSV of the statistical shape model SSM built from 3D facial data. The method relies only on the 3D shape with texture information not being used in any part of the algorithm that makes it inherently invariant to changes in the background illumination and to some extent viewing angle variations. To evaluate the proposed method two comprehensive 3D facial data sets have been used for the testing. The experimental results show that the SSV not only controls the shape variations but also captures the expressive characteristic of the faces and can be used as a significant feature for facial expression recognition. Finally the paper suggests improvements of the SSV discriminatory characteristics by using 3D facial sequences rather than 3D stills. Copyright 2009 Wei Quan et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction Facial expressions provide important information in communication between people and can be used to enable communication with computers in a more natural way. Recent advances in imaging technology and ever increasing computing power have opened up a possibility of .
