Biologically-inspired face detection: Non-brute-force-search approach

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2004-January, Issue January, 2004, Pages

  Siagian, Christian ^a   Itti, Laurent ^a  

^a University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICALLY-INSPIRED; BRUTE FORCE SEARCH; FACE DETECTION SYSTEM; FACES DETECTION; HIGH SPATIAL FREQUENCY; HIGHLY PARALLELS; IMAGE CHARACTERISTICS; MODEL ESTIMATES; SALIENCY MODELING; SPATIAL SEARCH;

FACE RECOGNITION;

EID: 84932641388     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2004.308     Document Type: Conference Paper

References (26)

1. Fong, T., I. Nourbakhsh, and K. Dautenhahn, 'A Survey of Socially Interactive Robots, ' Robotics and Autonomous Systems, 42(3-4), pages 143-166, 2003.
2. Forsyth, D., and J. Ponce, Computer Vision A Modern Approach, Prentice Hall, 2002.
3. Itti, L., 'Models of Bottom-Up and Top-Down Visual Attention, ' California Institute of Technology. Ph.D. thesis, Jan 2000.
4. Itti, L., and C. Koch, 'Computational Modeling of Visual Attention, ' Nature Reviews Neuroscience, Vol. 2, No. 3, pp. 194-20 3, Mar 2001.
5. Itti, L., ' Automatic Foveation for Video Compression Using a Neurobiological Model of Visual Attention,' IEEE Transactions on Image Processing, in press.
6. Koch, C., and S. Ullman, 'Shifts in selective visual attention: towards the underlying neural circuitery, ' Hum Neuro-biol, 4, pp. 219-27, 1985.
7. Lecun, Y., L. Bottou, Y. Be ngio, and P. Haffner, ' Gradient Based Learning Applied to Document Recognition,' Proceedings to IEEE 86(11), 2278-2324. 1998.
8. Matsugu M., K. Mori, Y. Mitari, and Y. Kaneda, ' Subject Independent Facial Expression Recognition with Robust Face Detection Using a Convolutional Neural Network,' Neural Networks, v.16 n.5-6, p.555-559, June 2003.
9. Miau F.,C. Papageorgiou,L. Itti Neuromorphic Algorithms for Computer Vision and Attention.' Proc. SPIE 46 Annual International Symposium on Optical Science and Technology 4479 12-23 Nov 2001.
10. Navalpakkam, V. , and L. Itti, 'Modeling the Influence of Task on Attention, ' 2003.
11. Oliva, A., and A. Torralba, 'Modelling the Shape of the Scene: A Holistic Representation of the Spatial Envelope, ' Int'l J. Computer Vision, vol. 42, no. 3, pp. 145-175, 2001.
12. Oliva, A., A. Torralba, M. Castelhano, and J. Henderson, ' Top Down Control of Visual Attention in Object Detection,' Journal of Vision, 3(9), 3a. 2003.
13. Osuna, E., R. Freund, and F. Girosi, 'Training Support Vector Machines: An Application to Face Detection, ' IEEE Conference on Computer Vision and Pattern Recognition, 1997 pp. 130-136.
14. Pomerleau, D., 'Neural Network Perception for Mobile Robot Guidance, ' Ph.D. thesis, School of Computer Science, Carnegie Mellon University, 1992
15. Rowley, H.A., S. Baluja, and T. Kanade., 'Rotation Invariant Neural Network-Based Face Detection, ' In Proc. of Computer Vision and Pattern Recognition, pages 38-44, 1998.
16. Rybak, I.A., V.I. Gusakova, A.V. Golovan, L.N. Podladchikova, and N.A. Shevtsova, ' A Model of Attentionguided Visual Perception and Attention,' Vision Research, 38(2):387-400, 1998.
17. Schnei derman H., and T. Kanade. 'A Statistical Method for 3D Object Detection Applies to Faces and Cars, ' Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 746-751, 2000.
18. Slater, A., ' The competent infant: Innate organization and early learning in infant visual perception,' Perceptual development: visual, auditory and speech perception in infancy, Hove: Psychology Press 1998, pp 105-128.
19. Torralba, A., and P. Sinha, 'Statistical Context Priming for Object Detection, ' IEEE Proc. Of Int. Conf in Comp. Vision, 1:763-770, 2001.
20. Torralba, A., 'Modeling Global Scene Factors in Attention, ' JOSA-A, vol. 20, 7, 2003.
21. Turk, M., and Pentland, A., 'Face Recognition Using Eigenfaces, ' Journal of Cognitive Neuroscience, 3(1), 1991.
22. Viola, P., and M. Jones, 'Robust Real-time Object Detection, ' Technical Report CRL, 2001.
23. Walther, D. L. Itti, M. Riesenhuber, T. Poggio, and C. Koch, ' Attentional Selection for Object Recognition-A Gentle Way,' Biologically Motivated Computer Vision-Lecture Notes in Compter Science, Springer (2002), 2525, 472-479.
24. Weber,M., M.Welling, and P. Perona, 'Unsupervised Learning of Models for Recognition, ' ECCV, 2000.
25. Wiskott, L., and C. Von Der Malsburg, 'Recognizing Faces by Dynamic Link Matching, ' Proceedings of the ICANN, 1995.
26. Wiskott, L., and J.M. Fellous, N. Kruger, and C. Von Der Malsburg, 'Face Recognition by Elastic Bunch Graph Matching, ' IEEE Trans. PAMI, 19(7):775-779, 1997.