Gabor volume based local binary pattern for face representation and recognition

This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary pattern (LBP) analysis is then applied on the derived Gabor magnitude responses. Different from [9], the present method not only describes the neighboring relationship in spatial domain, but also exploit those between different scales (frequency) and orientations. Specifically, we first reformulate the Gabor magnitude responses as a 3rd-order volume and then apply LBP analysis on three orthogonal planes of the Gabor volume, named GV-LBPTOP in short, in a hope to encode sufficient information for face representation. Further, a computationally effective version, E-GV-LBP, is proposed to depict the neighboring changes in spatial, frequency and orientation domains simultaneously. Finally, the weighted histogram intersection metric is utilized to measure the dissimilarity of faces. Experimental results on FERE...

• Type: Conference
• Year: 2008
• Where: FGR
• Authors: Zhen Lei, ShengCai Liao, Ran He, Matti Pietikäinen, Stan Z. Li
• Keywords: Biometrics, Face Representation, FGR 2008, Gabor Magnitude Responses, Multi-orientation Gabor filters