Feature Selection for 2D and 3D Face Recognition
作者： Mohammed Bennamoun , Yulan Guo , Ferdous Sohel
关键词:
摘要: Face recognition is a popular research topic with number of applications in several industrial sectors including security, surveillance, entertainment, virtual reality, and human–machine interaction. Both 2D images 3D data can now be easily acquired used for face recognition. For any 2D/3D system, feature extraction selection play significant role. Currently, both holistic local features have been intensively investigated the literature. In this article, fundamental background knowledge recognition, acquisition, preprocessing, extraction, classification, performance evaluation, presented. The state-of-the-art algorithms, feature, are then described detail. Finally, fusion techniques article covers complete related aspects recognition. Keywords: face biometrics; face identification; face recognition; face verification; feature extraction; feature
sci-hub.se 参考文章(109)
Ajmal Mian, Nick Pears, 3D Face Recognition 3D Imaging, Analysis and Applications. pp. 311- 366 ,(2012) , 10.1007/978-1-4471-4063-4_8
Ziad M. Hafed, Martin D. Levine, Face Recognition Using the Discrete Cosine Transform International Journal of Computer Vision. ,vol. 43, pp. 167- 188 ,(2001) , 10.1023/A:1011183429707
P. C. Fishburn, A note on “A note on Nanson's rule” Public Choice. ,vol. 64, pp. 101- 102 ,(1990) , 10.1007/BF00125920
Anil K. Jain, Chitra Dorai, 3D object recognition: Representation and matching Statistics and Computing. ,vol. 10, pp. 167- 182 ,(2000) , 10.1023/A:1008998410728
Chin Seng Chua, Ray Jarvis, Point Signatures: A New Representation for 3D Object Recognition International Journal of Computer Vision. ,vol. 25, pp. 63- 85 ,(1997) , 10.1023/A:1007981719186
Thomas Heseltine, Nick Pears, Jim Austin, Three-Dimensional Face Recognition: A Fishersurface Approach international conference on image analysis and recognition. pp. 684- 691 ,(2004) , 10.1007/978-3-540-30126-4_83
Šarunas Raudys, Fabio Roli, The Behavior Knowledge Space Fusion Method: Analysis of Generalization Error and Strategies for Performance Improvement Multiple Classifier Systems. pp. 55- 64 ,(2003) , 10.1007/3-540-44938-8_6
Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, Expression-invariant 3D face recognition Lecture Notes in Computer Science. pp. 62- 70 ,(2003) , 10.1007/3-540-44887-X_8
C. Hernandez Esteban, F. Schmitt, Multi-stereo 3D object reconstruction international symposium on 3d data processing visualization and transmission. pp. 159- 166 ,(2002) , 10.1109/TDPVT.2002.1024055
R. Ksantini, B. Boufama, Djemel Ziou, Bernard Colin, A novel Bayesian logistic discriminant model: An application to face recognition Pattern Recognition. ,vol. 43, pp. 1421- 1430 ,(2010) , 10.1016/J.PATCOG.2009.08.021