论文信息 - Efficient Facial Component Extraction for Detection and Recognition

Efficient Facial Component Extraction for Detection and Recognition

In this paper, we present an efficient algorithm for facial component extractions, which are eyes detection and the mouth width measuring, and pose estimation. The algorithm is based on the novel overcomplete wavelet feature template, the support vector machine (SVM) classifier, and the wavelet entropy filtering to robustly detect and segment the T-shape face region. The segmented T-shape face region, which is the smallest area enclosed by the face ellipse including eyes and mouth, is used to select the corresponding view-based classifier for face recognition. The experimental results show that the proposed method is robust against the complex scenes

Jing-Wein Wang

[1] Luc Vandendorpe,et al. Face Authentication Competition on the BANCA Database , 2004, ICBA.

[2] Zhi Liu,et al. An efficient face segmentation algorithm based on binary partition tree , 2005, Signal Process. Image Commun..

[3] Hayit Greenspan,et al. Mixture model for face-color modeling and segmentation , 2001, Pattern Recognit. Lett..

[4] Aleix M. Martínez,et al. Recognizing Imprecisely Localized, Partially Occluded, and Expression Variant Faces from a Single Sample per Class , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[5] Yi Lu,et al. Color image segmentation - an innovative approach , 2002, Pattern Recognit..

[6] Volkan Atalay,et al. Projection based method for segmentation of human face and its evaluation , 2002, Pattern Recognit. Lett..

[7] Tieniu Tan,et al. A new face detection method based on shape information , 2000, Pattern Recognit. Lett..

[8] Philippe Salembier,et al. Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval , 2000, IEEE Trans. Image Process..

[9] Chin-Chuan Han,et al. Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof , 2001, Pattern Recognit..

[10] Karim Faez,et al. An Efficient Human Face Recognition System Using Pseudo Zernike Moment Invariant and Radial Basis Function Neural Network , 2003, Int. J. Pattern Recognit. Artif. Intell..