Hybrid face recognition systems for profile views using the MUGSHOT database

Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems

Volumn 2001-January, Issue , 2001, Pages 149-156

  Wallhoff, Frank ^a   Miiller, Stefan ^a   Rigoll, Gerhard ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE RECOGNITION; HIDDEN MARKOV MODELS; INTERACTIVE COMPUTER SYSTEMS; MARKOV PROCESSES; NEURAL NETWORKS; PATTERN RECOGNITION; REAL TIME SYSTEMS;

3D INFORMATION; FACE RECOGNITION SYSTEMS; FACIAL EXPRESSIONS; JOINT PARAMETER ESTIMATIONS; MODELING TECHNIQUE; PRIOR KNOWLEDGE; ROTATION PROCESS; STATE-OF-THE-ART SYSTEM;

FACE RECOGNITION;

EID: 2342419719     PISSN: 15301044     EISSN: 23755296     Source Type: Journal    
DOI: 10.1109/RATFG.2001.938924     Document Type: Article

References (23)

1. S. Eickeler, S. Muller, and G. Rigoll, "Recognition of JPEG Compressed Face Images Based on Statistical Methods, " image and Vision Computing Journal, Special Issue on Facial Image Analysis, vol. 18, no. 4, pp. 279-287, Mar. 2000.
2. L. Wiskott, J.-M. Fellous, N. Kruger, and C. vonder Malsburg, 'Face Recognition by Elastic Bunch Graph Matching, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 775-779, July 1997.
3. P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss, "The FERET Evaluation Methodology for Face-Recognition Algorithms, " NISTIR 6264, Oct. 1999.
4. M. Turk and A. Pentland, "Face Recognition using Figenfaces, " in Conference on Computer Vision and Pattern Recognition, June 1991, pp. 586-59 J.
5. N. Petkov, P. Kruizinga, and T. Lourens, "Biologically Motivated Approach to Face Recognition, " in Proceeding of International Workshop on Artificial Neural Networks, 1993, vol. 686, pp. 68-78.
6. G. Wallis and H. Bulthoff, "Learning to Recognize Objects, " in Technical Report No. 084, Max-PlanckInst itut für biologische Kybernetik, Oct. 2000.
7. T. Maurer and C. vander Malsburg, "Learning Feature Transformations to Recognize Faces Rotated in Depth, " in Proceedings of the international Conference on Artificial Neural Networks, Paris, Oct. 1995.
8. T. Vetter, "Recognizing Faces From A New Viewpoint., " in Proc. iEEE mt. Conf on Acoustics, Speech, and Signal Processing (JCASSP), 1997, pp. 139-144.
9. M. GroB, Visual Computing-The integration of Computer Graphics, Visual Perception and Imaging, Computer Graphics: Systems and Applications. Springer-Verlag Berlin Heidelberg, 1994.
10. S. Avidan, T. Evgeniou, A. Shashua, and T. Poggio, "Image-based View Synthesis, " in MIT Al. Memo No. 1603 C. B. C. L. Paper No. 145, Jan. 1997.
11. D. Beymer, A. Shashua, and T. Poggio, "Example Based Image Analysis and Synthesis, " in MIT A. !. Memo No. 1431 C. B. C. L. Paper No. 80, Nov. 1998.
12. D. Beymer and Tomaso Poggio, "Face Recognition From One Example View, " in MIT A. !. Memo No. 1536 C. B. C. L. Paper No. 121, Sept. 1995.
13. J. O'Regan, "Mysteries of Visual Perception: The World as an Outside Memory, " in Canadian Journal of Psychology, 46, 1992, pp. 461-488.
14. F. Walihoff, S. MOller, and G. Rigoll, "Recognition of Face Profiles from the MUGSHOT Database Using a Hybrid ConnectionistlHMM Approach, " in IEEE mt. Conference on Acoustics, Speech, and Signal Processing, Salt Lake City, Utah, July 2001.
15. D. Valentin, H. Abdi, and B. Edelman, "What represents a Face: A Computational Approach for the Integration of Physiological and Psychological Face Data, " in The effects of distinctiveness in recognising and classfying faces., 1986, pp. 5 25-536.
16. C. I. Watson, "Mugshot Identification Data-Fronts and Profiles, " Reference Data of NIST Special Database 18, Dec. 1994.
17. L. R. Rabiner, "A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, " Proceedings of the IEEE, vol. 77, no. 2, pp. 257-285, Feb. 1989.
18. A. V. Nefian and M. H. Hayes III, "Hidden Markov Models for Face Recognition, " in Proc. IEEE mt. Conf on Acoustics, Speech, and Signal Processing (ICASSP), Seattle, May 1998, pp. 2721-2724.
19. F. Samaria and A. Harter, "Parameterisation of a Stochastic Model for Human Face Identification, " in IEEE Workshop on Applications of Computer Vision, Sarasota, Florida, Dec. 1994.
20. S. Marchand-Maillet, "1D and pseudo-2D Hidden Markov Models for Image Analysis, " in RR-99-49, institut ELIRECOM, Dept. of Multimedia Comm., 1999.
21. S. Eickeler, S. Muller, and G. Rigoll, "High Quality Face Recognition in JPEG Compressed Images, " in IEEE mt. Conference on Image Processing (ICIP), Kobe, Japan, Oct. 1999, pp. 672-676.
22. M. Riedmiller and H. Braun, "A direct adaptive method for faster backpropagation learning: The RPROP algorithm, " in Proc. of the IEEE Intl. Conf on Neural Networks, San Francisco, CA, 1993, pp. 586-59J.
23. K. K. Sung, "Learning and Example Selection for Object and Pattern Detection, " in Massachusetts Institue of Technology, A. J. T. R. No. 1572, Jan. 1994.