Abstract
A generative neural network model, constrained by non-face examples chosen by an iterative algorithm, is applied to face detection. To extend the detection ability in orientation and to decrease the number of false alarms, different combinations of networks are tested: ensemble, conditional ensemble and conditional mixture of networks. The use of a conditional mixture of networks obtains better results on different benchmark face databases than state-of-the-art.
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References
Baldi, P. and Hornik, K. (1989). Neural networks and principal components analysis: Learning from examples without local minima. Neural Networks, 2:53–58.
Collobert, M., Feraud, R., Le Tourneur, G., Bernier, O., Viallet, J.E, Mahieux, Y., and Collobert, D. (1996). Listen: a system for locating and tracking individual speaker. In Second International Conference On Automatic Face and Gesture Recognition.
Feraud, R., Bernier, O., and Collobert, D. (1997). A constrained generative model applied to face detection. Neural Processing Letters.
Geman, S., Bienenstock, E., and Doursat, R. (1992). Neural networks and the bias-variance dilemma. Neural Computation, 4:1–58.
Jacobs, R. A., Jordan, M. I., Nowlan, S. J., and Hinton, G. E. (1991). Adaptative mixtures of local experts. Neural Computation, 3:79–87.
Kramer, M. (1991). Nonlinear principal component analysis using autoassociative neural networks. AIChE Journal, 37:233–243.
Raviv, Y. and Intrator, N. (1996). Bootstrapping with noise: An effective regularization technique. Connection Science, 8:355–372.
Rowley, H., Baluja, S., and Kanade, T. (1995). Human face detection in visual scenes. In Neural Information Processing Systems 8.
Sung, K. and Poggio, T. (1994). Example-based learning for view-based human face detection. Technical report, M.I.T.
Turk, M. and Pentland, A. (1991). Eigenfaces for recognition. Journal of Cognitive Neuroscience, 3(1):71–86.
Vapnik, V. (1995). The Nature of Statistical Learning Theory. Springer-Verlag New York Heidelberg Berlin.
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© 1998 Springer-Verlag Berlin Heidelberg
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Feraud, R. (1998). PCA, Neural Networks and Estimation for Face Detection. In: Wechsler, H., Phillips, P.J., Bruce, V., Soulié, F.F., Huang, T.S. (eds) Face Recognition. NATO ASI Series, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72201-1_23
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DOI: https://doi.org/10.1007/978-3-642-72201-1_23
Publisher Name: Springer, Berlin, Heidelberg
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