Email this article Challenging Issues in Face Recognition
Abstract
This paper provides a concise & up-to-date review of research efforts in face recognition techniques based on 2D and 3D images. Recent research has also demonstrated that the fusion of different imaging modalities and spectral components can improve the overall performance of face recognition. The majority of face recognition methods have been developed by scientists with a very technical background such as biometry, pattern recognition and computer vision methods using 3D shape applied to data embodying facial expressions. Different strategies to deal with expressions are presented. The underlying concepts and practical issues relating to the application of each strategy are given, without going into technical details. The discussion clearly articulates the justification to establish archival, reference databases to compare and evaluate different strategies.
Keywords
References
Gupta, S.; Markey, M. K.; Bovik, A. C. (2010). "Anthropometric 3D Face Recognition". International Journal of Computer Vision (IJCV) 90 (3): 331–349. doi:10.1007/s11263-010-0360-8.
Daniel Riccio, Jean-LucDugelay “Geometric invariants for 2D/3D face recognition”Pattern Recognition Letters, Volume 28, Issue 14, 15 October 2007, Pages 1907-1914
Chang, K.I.; Bowyer, K.W.; Flynn, P.J.; “An evaluation of multimodal 2D+3D face biometrics” Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume: 27 , Issue: 4 Digital Object Identifier: 10.1109/TPAMI.2005.70 Publication Year: 2005 , Page(s): 619 - 624 Cited by: 70
Bowyer, K.W.; Chang, K.I.; Flynn, P.J.; Xin Chen; “Face Recognition Using 2-D, 3-D, and Infrared: Is Multimodal Better Than Multisample? ” Proceedings of the IEEE Volume: 94 , Issue: 11 Digitalobjectidentifier:10.1109/JPROC.2006.885134 Publication Year: 2006, Page(s): 2000-2012 Cited by: 5
Xiaoguang Lu; Jain, A.K.; Colbry, D.; “Matching 2.5D face scans to 3D models” Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume: 28 , Issue: 1 Digital Object Identifier: 10.1109/TPAMI.2006.15 Publication Year: 2006 , Page(s): 31 - 43 Cited by: 58
Mian, A.S.; Bennamoun, M.; Owens, R.; “An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition “Pattern Analysis and Machine Intelligence, IEEE Transactions on Volume: 29 ,Issue: 11 Digital Object Identifier:10.1109/TPAMI.2007.1105 Publication Year: 2007 , Page(s): 1927 - 1943 Cited by: 40
Mohamed Aly ,”Face Recognition using SIFT Features” International journal of computer vision, 60, 2006.
Mahoor, M.H.; Abdel-Mottaleb, M.; “A Multimodal Approach for Face Modeling and Recognition” Information Forensics and Security, IEEE Transactions on Volume: 3 , Issue: 3 Digital Object Identifier: 10.1109/TIFS.2008.924597 Publication Year: 2008 , Page(s): 431 - 440 Cited by: 4
Martin D. Levine, Yingfeng (Chris) Yu “State-of-the-art of 3Dfacial reconstruction methods for face recognition based on a single 2D training image per person” Pattern Recognition Letters, Volume 30, Issue 10, 15 July 2009, Pages 908-913
Filareti Tsalakanidou, Sotiris Malassiotis “Real-time 2D+3D facial action and expression recognition “ Original Research Article Pattern Recognition, Volume 43, Issue 5, May 2010, Pages 1763-1775
Prabhu, U.; Jingu Heo; Savvides, M.; “Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models Pattern Analysis and Machine Intelligence,”IEEE Transactions on
Volume:33 , Issue: 10 Digital Object Identifier:10.1109/TPAMI.2011.123Publication Year: 2011 , Page(s): 1952 - 1961
IEEE Journals
Bronstein, A. M.; Bronstein, M. M., and Kimmel, R. (2006). "Three dimensional face recognition" International Journal of Computer Vision (IJCV) 64 (1): 5–30. doi:10.1007/s11263-005-1085-y
Refbacks
- There are currently no refbacks.
Copyright © 2013, All rights reserved.| ijseat.com
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.