Title :
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
Author :
Xie, Shufu ; Shan, Shiguang ; Chen, Xilin ; Gao, Wen
Author_Institution :
Inst. of Comput. Technol., CAS, Beijing
Abstract :
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is regarded as a three dimensional ldquovolumerdquo, where the first two dimensions are spatial domain and the third dimension is the Gabor filter index. Then, the neighborhood order relationship in the ldquovolumerdquo is encoded by local binary patterns (LBP), which converts the Gabor transformed images into multiple index maps. Finally, the spatial histograms of all the V-LGBP index maps are concatenated together to represent the facial appearances. In addition, in order to reflect the uniform appearances of V-LGBP, its uniform patterns are redefined via statistical analysis. Extensive experiments on FERET dataset validate the effectiveness of our approach.
Keywords :
Gabor filters; face recognition; image coding; image representation; statistical analysis; Gabor feature set; Gabor filter index; Gabor transformed image; face recognition; face representation; gray image; multiple index map; spatial histogram; statistical analysis; volume encoding; volume-based local Gabor binary pattern; Computers; Concatenated codes; Content addressable storage; Face recognition; Gabor filters; Histograms; Lighting; Pattern recognition; Robustness; Statistical analysis;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761374