The Study of Face Recognition Based on the Large Samples

A improved face recognition method based on the large samples was proposed in the paper. The face and the eyes were detected using the Adaboost algorithm; and according to the distance and angle of the eyes, the accurate face could be gotten. For improving the robustness of face recognition against illumination, the face image was processed by the Retinex theory. The face feature was extracted using the Gabor wavelet. The similarity of the faces was detected by the cosine and distance of face feature vectors. The validity of the algorithm is testified by the experiments.

[1]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[2]  Anil K. Jain,et al.  Unsupervised texture segmentation using Gabor filters , 1990, 1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings.

[3]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[4]  E. Painkras,et al.  A Framework for the Design and Implementation of a Dynamic Face Tracking System , 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

[5]  Chengjun Liu,et al.  Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Chengjun Liu,et al.  Gabor-based kernel PCA with fractional power polynomial models for face recognition , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Maja Pantic,et al.  Fully Automatic Facial Action Unit Detection and Temporal Analysis , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[8]  Norbert Krüger,et al.  Face Recognition by Elastic Bunch Graph Matching , 1997, CAIP.

[9]  Bruce A. Draper,et al.  Recognizing faces with PCA and ICA , 2003, Comput. Vis. Image Underst..

[10]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[11]  Kin-Man Lam,et al.  Gabor-based kernel PCA with doubly nonlinear mapping for face recognition with a single face image , 2006, IEEE Transactions on Image Processing.

[12]  K. Kim,et al.  Face recognition using kernel principal component analysis , 2002, IEEE Signal Process. Lett..

[13]  Nanning Zheng,et al.  Boosted Gabor Features Applied to Vehicle Detection , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[14]  刘青山,et al.  Kernel-Based Nonlinear Discriminant Analysis for Face Recognition , 2003 .

[15]  Yoshihiko Hamamoto,et al.  A gabor filter-based method for recognizing handwritten numerals , 1998, Pattern Recognit..

[16]  William E. Higgins,et al.  Efficient Gabor filter design for texture segmentation , 1996, Pattern Recognit..

[17]  Ming-Hsuan Yang,et al.  Kernel Eigenfaces vs. Kernel Fisherfaces: Face recognition using kernel methods , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[18]  Xuelong Li,et al.  Human Carrying Status in Visual Surveillance , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[19]  LinLin Shen,et al.  Gabor wavelets and General Discriminant Analysis for face identification and verification , 2007, Image Vis. Comput..

[20]  Sheng-De Wang,et al.  Fingerprint feature extraction using Gabor filters , 1999 .

[21]  Marian Stewart Bartlett,et al.  Face recognition by independent component analysis , 2002, IEEE Trans. Neural Networks.

[22]  G. Baudat,et al.  Generalized Discriminant Analysis Using a Kernel Approach , 2000, Neural Computation.

[23]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[24]  David J. Kriegman,et al.  Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.

[25]  Séverine Dubuisson,et al.  Recursive Clustering for Multiple Object Tracking , 2006, 2006 International Conference on Image Processing.