Fast face recognition approach using a graphical processing unit "GPU"

2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings

Volumn , Issue , 2010, Pages 80-84

  Ouerhani, Yousri ^a   Jridi, Maher ^a   AlFalou, Ayman ^a  

^a Laboratoire L at bISEN   (France)

Author keywords

[No Author keywords available]

Indexed keywords

EXECUTION TIME; GRAPHICAL PROCESSING UNITS; MATHEMATICAL ASPECTS; OPTICAL COMPONENTS; OPTICAL IMPLEMENTATIONS; PHASE ONLY FILTERS; REAL-TIME APPLICATION;

IMAGING SYSTEMS; OPTICAL CORRELATION;

FACE RECOGNITION;

EID: 77957844455     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IST.2010.5548545     Document Type: Conference Paper

References (17)

1. A. Alfalou and C. Brosseau, Understanding Correlation Techniques for Face Recognition: From Basics to Applications, in Face Recognition, In-Tech, ISBN 978-953-307-060-5, 2010.
2. M. Elbouz, A. Alfalou and H. Hamam, Mobil phone camera Recognition Sign Language using a segmented multidecision filter adapted to the Parallel virtual machine (PVM), International Journal of Hybrid Information Technology: IJHIT Journal, vol. 1, No 2, pp. 101-108, 2008.
3. A. Alfalou, M. Elbouz, M. Jridi and A. Loussert, A new simultaneous compression and encryption method for images suitable to optical correlation, Optics and Photonics for Counterterrorism and Crime Fighting V, edited by Colin Lewis, Proc. of SPIE, vol. 7486, 74860J-1-8, 2009.
4. J.D. Owens, M. Houston, D. Luebke, S. Green, J.E. Stone and J.C. Phillips, GPU Computing, Proc. of IEEE, vol. 96, pp. 879-899, May 2008.
5. S.H. Park, D.R. Shires and B.J. Henz, Coprocessor Computing with FPGA and GPU, 3rd ed. DoD HPCMP Users Group Conference. Seattle, WA, pp. 366-370, July 2008.
6. K. Moreland and E. Angel, The FFT on a GPU, Proc. of Graphics Hardware, pp. 112-136, 2003.
7. E. Stephanie and K. Ronan, Etat de l'art des processeurs du marche dans le contexte du codec H.264, Technical report Projet TransMedi@ Institut Telecom/Telecom-Bretagne, Departement Informatique, Ver. 1.0, May 2009.
8. C. Deqi, L. Ningfang and C. Weiliang Study of ARFTIS reconstruction model on GPU, ISECS International Colloquium on Computing, Communication, Control and Management, vol. 2, pp. 192 - 195, 8-9 Aug. 2009.
9. NVIDIA, NVIDIA CUDA Programming guide version 2.0, Available on: http://www.developer.download.nvidia.com
10. A. Alfalou, G. Keryer and J. L. de Bougrenet, Optical implementation of segmented composite filtering, Applied Optics, vol. 38, pp. 6129-6135, 1999.
11. M. Frigo and S.G. Johnson, The Design and Implementation of FFTW3, Proc. of IEEE, vol. 93, no. 2, pp. 216-231, 2005.
12. J.W. Cooley and J.W. Tukey, An algorithm for the machine computation of the complex Fourier series, Mathematics of Computation, vol. 19, pp. 297-301, April 1965.
13. A.V. Oppenheim and R.W. Schafer, Discrete-time Signal Processing, Englewood Cliffs, NJ 07632: Prentice-Hall, 1989.
14. C.M. Rader, Discrete Fourier transforms when the number of data samples is prime, Proc. of IEEE, vol. 56, pp. 1107-1108, June 1968.
15. P. Duhamel and M. Vetterli, Fast Fourier transforms: a tutorial review and a state of the art, Signal Processing, vol. 19, pp. 259-299, April 1990.
16. J.L. Horner, Metrics for assessing pattern-recognition performance, Applied Optics, vol. 31, pp. 165-166, 5 March 1991.
17. Face Databases From Other Research Groups, Available on: http://www.ecse.rpi.edu/%7Ecvrl/database/other-Face-Databases.htm