Real-time efficient parallel thermal and visual face recognition fusion

2006 IEEE International Conference on Electro Information Technology

Volumn , Issue , 2006, Pages 569-574

  Ali, Usman ^a   Taj, Jahanzeb Ahmad ^a   Hussain, Talib ^a   Hussain, Mazhar ^a  

^a CAMPUS ^*  (Pakistan)

Author keywords

Cluster computing; Decision fusion; Face recognition; Gabor filter; Parallel image processing

Indexed keywords

BIOMETRICS; CLUSTER ANALYSIS; COMPUTATIONAL METHODS; DECISION THEORY; IMAGE FUSION; REAL TIME CONTROL;

CLUSTER COMPUTING; DECISION FUSION; GABOR FILTERS; PARALLEL IMAGE PROCESSING;

FACE RECOGNITION;

EID: 34250860312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EIT.2006.252208     Document Type: Conference Paper

References (32)

1. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surveys (CSUR) 35 (2003) 399-458
2. Turk, M., Pentland, A.: Eigenfaces for Recognition, Journal of Cognitive Neurosicence, Vol. 3, No. 1, 1991, pp. 71-86.
3. Bartlett, M., Movellan, J., Sejnowski, T.: Face Recognition by Independent Component Analysis, IEEE Trans. on Neural Networks", Vol. 13, No. 6, November 2002, pp. 1450-1464.
4. Belhumeur, P., P.Hespanha, J., Kriegman, D.: Eigen-faces vs. Fisherfaces: Recognition using Class Specific Linear Projection, 4th European Conference on Computer Vision, ECCV'96, 15-18 April 1996, Cambridge, UK, pp. 45-58.
5. Wiskott, L. Fellous, J.-M. Kuiger, N. von der Malsburg, C. : Face Recognition by Elastic Bunch Graph Matching, Chapter 11 in Intelligent Biometric Techniques in Fingerprint and Face Recognition, eds. L.C. Jain et al., CRC Press, 1999, pp. 355-396.
6. Creed F. Jones III, Color Face Recognition using Quaternionic Gabor Filters, PhD Dissertation, 15, January 2003.
7. Prokoski, F., Riedel, R.: Infrared Identification of Faces and Body Part,. In BIOMETRICS Personal Identification in Networked Society, Kluwer Academic Publishers (1998).
8. Prokoski, F.: History, current status, and future of infrared identification, In the Proceedings of IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, Hilton Head Island, South Carolina, USA (2000) 5-14
9. Socolinsky, D.,Wolff, L., Neuheisel, J., Eveland, C.: Illuminauon invariant face recognition using thermal infrared imagery. In the Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR 2001). Volume 1., Kauai, Hawaii, United States (2001) 527-534
10. Pavlidis, I., Symosek, P.: The imaging issue in an automatic face/disguise detection system, In the Proc. of IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, Hilton Head Island, South Carolina, USA (2000) 15-24
11. Wilder, J., Phillips, P., Jiang, C., Wiener, S.: Comparison of visible and infrared imagery for face recognition, In the Proc. of the Second International Conference on Automatic Face and Gesture Recognition, Killington, Vermont (1996) 182-187
12. th International Conference on Pattern Recognition. Volume 4., Quebec, Canada(2002) 217-222
13. Chen, X., Flynn, P., Bowyer, K.: PCA-based face recognition in infrared imagery: Baseline and comparative studies, In the Proc. of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures, Nice, France (2003) 127-134
14. Buddharaju, P., Pavlidis, I., and Kakadiaris, I.: Face Recognition in the Thermal Infrared Spectrum, In the Proc. of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
15. Equinox: Face database (2004). www.equinoxsensors.com/products/HID. html
16. Kong, S., Heo, J., Abidi, B., Paik, J., and Abidi, M.: Recent Advances in Visual and Infrared Face Recognition - A Review, the Journal of Computer Vision and Image Understanding, Vol. 97, No. 1, pp. 103-135, June 2005.
17. Fay, D., Waxman, A., Aguilar, M., Ireland, D., Racamato, J.: Fusion of Multi-Sensor Imagery for Night Vision: Color Visualization, Target Learning and Search, In the proc. of the 3rd International Conference on Information Fusion, Vol 1, pp. TuD3-3 -TuD3-10, July, 2000.
18. Heo, J., Kong, S., Abidi, B., and Abidi, M.: Fusion of Visual and Thermal Signatures with Eyeglass Removal for Robust Face Recognition, IEEE Workshop on Object Tracking and Classification Beyond the Visible Spectrum in conjunction with CVPR 2004, pp. 94-99, Washington, D.C., July 2004.
19. Fan, W., Wang, Y., Liu, W., Tan, T., Combining Null Space-based Gabor Features for Face Recognition, In the proc. of 17th International Conference on Pattern Recognition.
20. Escobar, M., Ruiz-del-Solar, J.: Biologically-based Face Recognition using Gabor Filters and Log-Polar Images, in the proc. of International Joint Conference. on Neural Networks - IJCNN 2002, May 12-17, Honolulu, USA.
21. Kittler, J., Hatef, M., Duin, R., and Matas, J.: On combining classifiers, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 3, pp. 226-239, 1992.
22. Chen, X., Flynn, P. J. , Bowyer, K. W.: Visible-light and Infrared Face Recognition, Proc. of the of Workshop on Multimodal User Authentication, pages 48-55, Dec 2003, Santa Barbara, CA USA.
23. Choudhary, A. and Ranka, S.: Parallel Processing for Computer Vision and Image Understanding, Guest Editor's Introduction, IEEE Computer Magazine, February 1992, vol. 25, No. 2, pp. 7-10.
24. Kepner, J.: Exploiting VSIPL and OpenMP for Parallel Image Processing, November 12-15, 2000, Boston, MA Astronomical Data Analysis Software and Systems X (ADASS), ASP Conference Proceedings, Vol. 238. San Francisco: Astronomical Society of the Pacific, ISSN: 1080-7926, 2001, p.209-212.
25. Bazanov, P., Kim, T., Kee, S. C. and Lee, S. U.: Hybrid and Parallel Face Classifier based on Artificial Neural Networks and Principal Component Analysis, IEEE International Conference on Image Processing(ICIP), Rochester, New York, Sept. 22-25, 2002.
26. Krüger, T., Wickel, J. and Kraiss, K.-F.: Parallel and Distributed Computing for an Adaptive Visual Object Retrieval System. In Proceedings of the 17th International Parallel and Distributed Processing Symposium IPDPS 2003, France, April 2003.
27. Bräunl T.: Tutorial in Data Parallel Image Processing", Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol. 6, no. 3, 2001, pp. 164-174.
28. Nicolescu C. and Jonker P.P.: Parallel low-level image processing on a distributed-memory system", in: J. Rolim (eds.), Proc. Workshop on Parallel and Distributed Methods for Image Processing (held in conjuction with IPDPS'2000, Cancun, Mexico, May 1-5), 2000, 226-233.
29. Altilar, D., Paker, Y.: Minimum Overhead Data Partitioning Algorithms for Parallel Video Processing, 12th Intl. Conf. on Domain Decomposition Methods, 2001.
30. Keatkaew, T. and Achalakul, T.: Real-time, Parallel Face Recognition Using Eigenfaces, In Proc. of International Technical Conference on Circuites/Systems, Computers, and Communications(ITC-CSCC 2005), 4-7 july,2005, jeju, Korea, Volume 2, pp-1149-1150.
31. Taj, J. A. , Shahzad, M. I., Ali, U. , Qureshi, R. J.: Digital Signal Processor based Implementation of Face Recognition using Gabor Filter", Accepted for publication in International Conference on Intelligent Systems, Sunway Lagoon Resort Hotel, Kuala Lumpur, MALAYSIA, 1st -3rd December 2005.
32. Wang, C.-Li.: High-Performance Computing for Vision, 1996, pp.:931-946.