Abstract
In this paper we present a method to form pattern specific facial shape descriptors called basis-images for non-parametric LBPs (Local Binary Patterns) and some other similar face descriptors such as Modified Census Transform (MCT) and LGBP (Local Gabor Binary Pattern). We examine the distribution of different local descriptors among the facial area from which some useful observations can be made. In addition, we test the discriminative power of the basis-images in a face detection framework for the basic LBPs. The detector is fast to train and uses only a set of strictly frontal faces as inputs, operating without non-faces and bootstrapping. The face detector performance is tested with the full CMU+MIT database.
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Ahonen, T., Hadid, A., Pietikainen, M.: Face Recognition with Local Binary Patterns. In: Pajdla, T., Matas, J. (eds.) ECCV 2004. LNCS, vol. 3021, pp. 469–481. Springer, Heidelberg (2004)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(7), 971–984 (2002)
Zhang, W., Shan, S., Gao, W., Chen, X., Zhang, H.: Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition. In: Tenth IEEE International Conference on Computer Vision, ICCV, October 2005, vol. 1, pp. 786–791 (2005)
Froba, B., Ernst, A.: Face detection with the modified census transform. In: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, May 2004, pp. 91–96 (2004)
Jin, H., Liu, Q., Tang, X., Lu, H.: Learning Local Descriptors for Face Detection. In: IEEE International Conference on Multimedia and Expo., ICME, July 2005, pp. 928–931 (2005)
Hadid, A., Pietikainen, M., Ahonen, T.: A Discriminative Feature Space for Detecting and Recognizing Faces. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition CVPR, Washington, DC, vol. 2, pp. 797–804 (2004)
Feng, X., Pietikainen, M., Hadid, A.: Facial expression recognition with local binary patterns and linear programming. Pattern Recognition and Image Analysis 15(2), 546–548 (2005)
Ruiz-del-Solar, J., Quinteros, J.: Illumination Compensation and Normalization in Eigenspace-based Face Recognition: A comparative study of different pre-processing approaches. Pattern Recognition Letters 29(14), 1966–1978 (2008)
Ahonen, T., Pietikainen, M.: Image description using joint distribution of filter bank responses. Pattern Recognition Letters 30(4), 368–376 (2009)
Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.: FERET Database and Evaluation Procedure for Face Recognition Algorithms. Image and Vision Computing 16, 295–306 (1998)
Yang, H., Wang, Y.: A LBP-based Face Recognition Method with Hamming Distance Constraint. In: Proceedings of Fourth International Conference on Image and Graphics (ICIG 2007), pp. 645–649 (2007)
Lahdenoja, O., Laiho, M., Paasio, A.: Reducing the feature vector length in local binary pattern based face recognition. In: IEEE International Conference on Image Processing, ICIP, September 2005, vol. 2, pp. 914–917 (2005)
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Lahdenoja, O., Laiho, M., Paasio, A. (2009). On the Spatial Distribution of Local Non-parametric Facial Shape Descriptors. In: Salberg, AB., Hardeberg, J.Y., Jenssen, R. (eds) Image Analysis. SCIA 2009. Lecture Notes in Computer Science, vol 5575. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02230-2_36
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DOI: https://doi.org/10.1007/978-3-642-02230-2_36
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