Face recognition under camouflage and adverse illumination
作者： Matthew Shreve , Vasant Manohar , Dmitry Goldgof , Sudeep Sarkar
DOI: 10.1109/BTAS.2010.5634524
关键词: Face (geometry) 、 Facial recognition system 、 Artificial intelligence 、 Optical flow 、 Adverse conditions 、 Principal component analysis 、 Shadow 、 Camouflage 、 Computer science 、 Open mouth 、 Computer vision
摘要: This paper presents a method for face identification under adverse conditions by combining regular, frontal images with facial strain maps using score-level fusion. Strain are generated calculating the central difference of optical flow field obtained from each subject's during open mouth expression. Subjects were recorded and without camouflage three lighting conditions: normal lighting, low strong shadow. Experimental results demonstrate that useful supplemental biometrie in all conditions, especially condition, where 30% increase rank 1 recognition is observed over baseline PCA-based algorithm.
sci-hub.se 参考文章(22)
Ce Liu, Jenny Yuen, Antonio Torralba, Josef Sivic, William T. Freeman, SIFT Flow: Dense Correspondence across Different Scenes Lecture Notes in Computer Science. pp. 28- 42 ,(2008) , 10.1007/978-3-540-88690-7_3
Satprem Pamudurthy, E. Guan, Klaus Mueller, Miriam Rafailovich, Dynamic approach for face recognition using digital image skin correlation Lecture Notes in Computer Science. pp. 1010- 1018 ,(2005) , 10.1007/11527923_105
David S. Bolme, J. Ross Beveridge, Marcio Teixeira, Bruce A. Draper, The CSU face identification evaluation system: its purpose, features, and structure international conference on computer vision systems. pp. 304- 313 ,(2003) , 10.1007/3-540-36592-3_29
Li-Fen Chen, H-YM Liao, Ja-Chen Lin, None, Person identification using facial motion international conference on image processing. ,vol. 2, pp. 677- 680 ,(2001) , 10.1109/ICIP.2001.958584
Shaun J. Canavan, Michael P. Kozak, Yong Zhang, John R. Sullins, Matthew A. Shreve, Dmitry B. Goldgof, Face Recognition by Multi-Frame Fusion of Rotating Heads in Videos international conference on biometrics theory applications and systems. pp. 1- 6 ,(2007) , 10.1109/BTAS.2007.4401929
W. Zhao, R. Chellappa, P. J. Phillips, A. Rosenfeld, Face recognition: A literature survey ACM Computing Surveys. ,vol. 35, pp. 399- 458 ,(2003) , 10.1145/954339.954342
Abhijit S. Ogale, Yiannis Aloimonos, Shape and the Stereo Correspondence Problem International Journal of Computer Vision. ,vol. 65, pp. 147- 162 ,(2005) , 10.1007/S11263-005-3672-3
Xudong Xie, Kin-Man Lam, None, An efficient illumination normalization method for face recognition Pattern Recognition Letters. ,vol. 27, pp. 609- 617 ,(2006) , 10.1016/J.PATREC.2005.09.026
Pohsiang Tsai, Longbing Cao, Tom Hintz, Tony Jan, A bi-modal face recognition framework integrating facial expression with facial appearance Pattern Recognition Letters. ,vol. 30, pp. 1096- 1109 ,(2009) , 10.1016/J.PATREC.2009.05.008
Sami Romdhani, Jeffrey Ho, Thomas Vetter, David J Kriegman, None, Face Recognition Using 3-D Models: Pose and Illumination Proceedings of the IEEE. ,vol. 94, pp. 1977- 1999 ,(2006) , 10.1109/JPROC.2006.886019