Title :
A comparative study of age-invariant face recognition with different feature representations
Author :
Meng, Cui ; Lu, Jiwen ; Tan, Yap-Peng
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Age invariant face recognition is an important yet less investigated problem in the face recognition community. In this paper, we empirically evaluate state-of-the-art facial feature representations for age-invariant face recognition. Three representative features including local binary pattern (LBP), Gabor wavelets and gradient orientation pyramid (GOP) were applied, followed by a principal component analysis (PCA) to reduce the dimensions of the extracted features. Experimental results on the MORPH database, one of the largest publicly available face dataset containing thousands of longitudinal images are presented. Experimental results show that Gabor wavelets feature with five scales and eight orientations is the optimal feature representation method for age-invariant face recognition.
Keywords :
face recognition; feature extraction; gradient methods; image representation; principal component analysis; visual databases; wavelet transforms; Gabor wavelets; MORPH database; PCA; age-invariant face recognition; face dataset; facial feature representations; feature extraction; gradient orientation pyramid; local binary pattern; longitudinal images; principal component analysis; Databases; Face; Face recognition; Feature extraction; Kernel; Pixel; Principal component analysis; Gabor wavelets; age-invariant; face recognition; gradient orientation pyramid; local binary pattern;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7814-9
DOI :
10.1109/ICARCV.2010.5707394