tailieunhanh - Báo cáo hóa học: " Research Article Recognition of Faces in Unconstrained Environments: A Comparative Study"

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 Recognition of Faces in Unconstrained Environments: A Comparative Study | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 184617 19 pages doi 2009 184617 Research Article Recognition of Faces in Unconstrained Environments A Comparative Study Javier Ruiz-del-Solar Rodrigo Verschae and Mauricio Correa Department of Electrical Engineering Universidad de Chile Avenida Tupper 2007 837-0451 Santiago Chile Correspondence should be addressed to Javier Ruiz-del-Solar jruizd@ Received 10 October 2008 Revised 31 January 2009 Accepted 13 March 2009 Recommended by Kevin Bowyer The aim of this work is to carry out a comparative study of face recognition methods that are suitable to work in unconstrained environments. The analyzed methods are selected by considering their performance in former comparative studies in addition to be real-time to require just one image per person and to be fully online. In the study two local-matching methods histograms of LBP features and Gabor Jet descriptors one holistic method generalized PCA and two image-matching methods SIFTbased and ERCF-based are analyzed. The methods are compared using the FERET LFW UCHFaceHRI and FRGC databases which allows evaluating them in real-world conditions that include variations in scale pose lighting focus resolution facial expression accessories makeup occlusions background and photographic quality. Main conclusions of this study are there is a large dependence of the methods on the amount of face and background information that is included in the face s images and the performance of all methods decreases largely with outdoor-illumination. The analyzed methods are robust to inaccurate alignment face occlusions and variations in expressions to a large degree. LBP-based methods are an excellent election if we need real-time operation as well as high recognition rates. Copyright 2009 Javier Ruiz-del-Solar et al. This is an open access article distributed under the Creative Commons Attribution License which .