Learning face localization using hierarchical recurrent networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2415 LNCS, Issue , 2002, Pages 1319-1324

  Behnke, Sven ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; COMPLEX NETWORKS; HUMAN COMPUTER INTERACTION; NEURAL NETWORKS;

COMPLEX BACKGROUND; EYE COORDINATES; FACE LOCALIZATION; HIERARCHICAL NEURAL NETWORKS; HUMAN COMPUTER INTERFACES; INITIAL SOLUTION; REAL-TIME OPERATION; RECURRENT NETWORKS; VIDEO TELEPHONY;

RECURRENT NEURAL NETWORKS;

EID: 84902137569     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_213     Document Type: Conference Paper

References (10)

1. S. Behnke and R. Rojas. Neural Abstraction Pyramid: A hierarchical image understanding architecture. In Proc. IJCNN'98-Anchorage, pages 820-825, 1998.
2. Sven Behnke. Learning iterative image reconstruction in the Neural Abstraction Pyramid. International Journal on Computational Intelligence and Applications, Special Issue on Neural Networks at IJCAI-2001, 1(4):427-438, 2001.
3. Y. Bengio, P. Simard, and P. Frasconi. Learning long-term dependencies with gradient descent is difficult. IEEE Trans. on Neural Network, 5(2):157-166, 1994.
4. Erik Hjelmas and Boon Kee Low. Face detection: A survey. Computer Vision and Image Understanding, 83:236-274, 2001.
5. O. Jesorsky, K. J. Kirchberg, and R. W. Frischholz. Robust face detection using the Hausdorff distance. In Third Int. Conf. on Audio- and Video-based Biometric Person Authentication, Halmstad, Sweden, pages 90-95. Springer, 2001.
6. D. Maio and D. Maltoni. Real-time face localization on gray-scale static images. Pattern Recognition, 33:1525-1539, 2000.
7. K. Messer, J. Matas, J. Kittler, J. Luettin, and G. Maitre. XM2VTSDB: The extended M2VTS database. In Second Int. Conf. on Audio and Video-based Biometric Person Authentication, pages 72-77, 1999.
8. Martin Riedmiller and Heinrich Braun. A direct adaptive method for faster back propagation learning: The RPROP algorithm. In Proceedings of the International Conference on Neural Networks - San Francisco, CA, pages 586-591. IEEE, 1993.
9. H. A. Rowley, S. Baluja, and T. Kanade. Neural network based face detection. IEEE Trans. Pattern Analysis and Machine Intelligence, 20:23-38, 1998.
10. R. Williams and J. Peng. An efficient gradient-based algorithm for on-line training of recurrent network trajectories. Neural Computation, 2(4):491-501, 1990.