Have a personal or library account? Click to login

Sparse Representation Theory and its Application for Face Recognition

Open Access
|Mar 2015

References

  1. Zhao W, Krishnaswamy A, Chellappa R, et al. Discriminant analysis of principal components for face recognition[M]. Face Recognition. Springer Berlin Heidelberg, 1998: 73-85.10.1007/978-3-642-72201-1_4
  2. Yang J, Zhang D, Frangi A F, et al. Two-dimensional PCA: a new approach to appearance-based face representation and recognition, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2004, 26(1): 131-137.10.1109/TPAMI.2004.1261097
  3. Tan X, Triggs B. Enhanced local texture feature sets for face recognition under difficult lighting conditions, Image Processing, IEEE Transactions on, 2010, 19(6): 1635-1650.10.1109/TIP.2010.204264520172829
  4. Shakhnarovich G, Moghaddam B. Face recognition in subspaces, Handbook of Face Recognition. Springer London, 2011: 19-49.10.1007/978-0-85729-932-1_2
  5. Sadeghi A R, Schneider T, Wehrenberg I. Efficient privacy-preserving face recognition, Information, Security and Cryptology–ICISC 2009. Springer Berlin Heidelberg, 2010: 229-244.10.1007/978-3-642-14423-3_16
  6. Yu L, He Z, Cao Q. Gabor texture representation method for face recognition using the Gamma and generalized Gaussian models, Image and Vision Computing, 2010, 28(1): 177-187.10.1016/j.imavis.2009.05.012
  7. Kyungim Baek , Bruce A. Draper , J. Ross Beveridge , Kai She. PCA vs. ICA: a comparison on the FERET data set [C]. In Proc. Of the 4th International Conference on Computer Vision, 2002.
  8. Fang S Y, Fang J J. Automatic head and facial feature extraction based on geometry variations, Computer-Aided Design, 2011, 43(12): 1729-1739.10.1016/j.cad.2011.06.014
  9. Moghaddam B, pentland A. Probabilistic visual learning for object representation [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1997(7).10.1109/34.598227
  10. M. Turk, A. Pentland. Eigenfaces for Recognition, Journal of Cognitive Neuroscience. vol.3, no.1, pp.71-86, 1991.10.1162/jocn.1991.3.1.7123964806
  11. Marian Stewart Bartlett, Javier R. Movellan, and Terrence J. Sejnowski. Face recognition by independent Component analysis, IEEE Trans. on Neural Networks, vol.13, no.6, 2002(12).10.1109/TNN.2002.804287289852418244540
  12. Shakhnarovich G, Moghaddam B. Face recognition in subspaces, Handbook of Face Recognition. Springer London, 2011: 19-49.10.1007/978-0-85729-932-1_2
  13. Li Z, Lin D, Tang X. Nonparametric discriminant analysis for face recognition, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(4): 755-761.10.1109/TPAMI.2008.17419229090
  14. Shu X, Gao Y, Lu H. Efficient linear discriminant analysis with locality preserving for face recognition. Pattern Recognition, 2012, 45(5): 1892-1898.10.1016/j.patcog.2011.11.012
  15. Bekios-Calfa J, Buenaposada J M, Baumela L. Revisiting linear discriminant techniques in gender recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2011, 33(4): 858-864.10.1109/TPAMI.2010.20821135443
  16. G. Sen Gupta, S.C. Mukhopadhyay, Michael Sutherland and Serge Demidenko, Wireless Sensor Network for Selective Activity Monitoring in a home for the Elderly, Proceedings of 2007 IEEE IMTC conference, Warsaw, Poland, (6 pages).10.1109/IMTC.2007.379172
  17. Nikitidis S, Tefas A, Nikolaidis N, et al. Facial expression recognition using clustering discriminant Non-negative Matrix Factorization, Image Processing (ICIP), 2011 18th IEEE International Conference on. IEEE, 2011: 3001-3004.10.1109/ICIP.2011.6116294
  18. M.Iwahara, S.C.Mukhopadhyay, S.Yamada and F.P.Dawson, “Development of Passive Fault Current Limiter in Parallel Biasing Mode”, IEEE Transactions on Magnetics, Vol. 35, No. 5, pp 3523-3525, September 1999.10.1109/20.800577
  19. Wen Y, He L, Shi P. Face recognition using difference vector plus KPCA , Digital Signal Processing, 2012, 22(1): 140-146.10.1016/j.dsp.2011.08.004
  20. Liu Q, Huang R, Lu H, et al. Face recognition using kernel-based fisher discriminant analysis, Automatic Face and Gesture Recognition, 2002. Proceedings. Fifth IEEE International Conference on. IEEE, 2002: 197-201.
  21. Candes E J, Romberg J K, Tao T. Stable signal recovery from incomplete and inaccurate measurements, Communications on pure and applied mathematics, 2006, 59(8): 1207-1223.10.1002/cpa.20124
  22. N.K.Suryadevara, A. Gaddam, R.K.Rayudu and S.C. Mukhopadhyay, “Wireless Sensors Network based safe Home to care Elderly People: Behaviour Detection”, Sens. Actuators A: Phys. (2012), doi:10.1016/j.sna.2012.03.020, Volume 186, 2012, pp. 277 – 283.10.1016/j.sna.2012.03.020
  23. Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation, Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227.10.1109/TPAMI.2008.7919110489
  24. Donoho D L. For most large underdetermined systems of linear equations the minimal 11 - norm solution is also the sparsest solution, Communications on pure and applied mathematics, 2006, 59(6): 797-829.10.1002/cpa.20132
  25. DeVore R A, Temlyakov V N. Some remarks on greedy algorithms, Advances in computational Mathematics, 1996, 5(1): 173-187.10.1007/BF02124742
  26. N.K. Suryadevara, S.C. Mukhopadhyay, R. Wang, R.K. Rayudu, Forecasting the behavior of an elderly using wireless sensors data in a smart home, Engineering Applications of Artificial Intelligence, Volume 26, Issue 10, November 2013, Pages 2641-2652, ISSN 0952-1976, http://dx.doi.org/10.1016/j.engappai.2013.08.004.10.1016/j.engappai.2013.08.004
  27. Jones B. A greedy algorithm for a generalization of the reconstruction problem, International Journal of General System, 1985, 11(1): 63-68.10.1080/03081078508934899
  28. Leongwai Yie, Joel Than Chia Ming, Features of Sleep Apnea Recognition and Analysis, International Journal on Smart Sensing and Intelligent Systems, vol. 7, no. 2, pp, 481 – 497, 2014.10.21307/ijssis-2017-666
  29. Wenqing Che and Wang Tao, A Scene Recognition Algorithm Based on Multi-instance Learning, International Journal on Smart Sensing and Intelligent Systems, vol. 7, no. 2, pp,1470 – 1492, 2014.10.21307/ijssis-2017-716
Language: English
Page range: 107 - 124
Submitted on: Oct 30, 2014
Accepted on: Jan 7, 2015
Published on: Mar 1, 2015
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2015 Yongjiao Wang, Chuan Wang, Lei Liang, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.