Abstract
In this paper, we propose a face detection method by combining classifiers. We apply two classifiers using features extracted from complementary feature subspaces learned by principal component analysis (PCA). The two classifiers employ the same classification model named a polynomial neural network (PNN). The outputs of the two classifiers are fused to make the final decision. The effectiveness of the proposed method has been demonstrated in experimentals.
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References
Maio, D., Maltoni, D.: Real-Time Face Location on Gray-Level Static Images. Pattern Recognition 33, 1525–1539 (2000)
Liu, C.: A Bayesian Discriminating Features Method for Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 25, 725–740 (2003)
Rowley, H.A., Baluja, S., Kanade, T.: Neural Network-Based Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 20, 23–38 (1998)
Yang, M.H., Kriegman, D.J., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 24, 34–58 (2002)
Kittler, J., Duin, P.W., Matas, J.: On Combining Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 20, 226–239 (1998)
Huang, L.-L., Shimizu, A., Hagihara, Y., Kobatake, H.: Gradient Feature Extraction for Classification-Based Face Detection. Pattern Recognition 36, 2502–2511 (2003)
Ali, K.M., Pazzani, M.J.: On the Link Between Error Correlation and Error Reduction in Decision Tree Ensembles. Technical Report, ICS-UCI, 95–138 (1995)
Schürmann, J.: Pattern Classification: A Unified View of Statistical Pattern Recognition and Neural Networks. Wiley Interscience, Hoboken (1996)
Robbins, H., Monro, S.: A Stochastic Approximation Method. Annals of Mathematics and Statistics 22, 400–407 (1951)
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© 2006 Springer-Verlag Berlin Heidelberg
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Huang, LL., Shimizu, A. (2006). Combining Classifiers for Robust Face Detection. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_18
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DOI: https://doi.org/10.1007/11760023_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34437-7
Online ISBN: 978-3-540-34438-4
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