Feb 13, 2016 · Basic local operators include local binary patterns (LBP), generalized local binary patterns (GLBPs), Weber local descriptors (WLDs), Gabor ...
This chapter provides a summary of local operators recently proposed for heterogeneous face recognition and analyzes performance of each individual operator ...
Local Operators and Measures for Heterogeneous Face Recognition
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Basic local operators include Local Binary Patterns (LBP), Generalized Local Binary Patterns (GLBP), Weber Local Descriptors (WLD), Gabor filters, and ...
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Basic local operators include local binary patterns (LBP), generalized local binary patterns (GLBPs), Weber local descriptors (WLDs), Gabor filters, and ...
Bibliographic details on Local Operators and Measures for Heterogeneous Face Recognition.
Over the past years, Local Binary Patterns (LBP) is proved to be a powerful local descriptor for texture analysis and image structure representation [14,15,1].
Local feature analysis refers to a subset of algorithms that extract a set of geometrical features and distances from facial images, and uses those features as ...
This paper proposed a new compound operator (combining Gabor filters and three local operators, WLD, LBP and HOG) for the problem of heterogeneous periocular ...
Heterogeneous face images come from different lighting conditions or different imaging devices, such as visible light (VIS) and near infrared (NIR) based.
Z. Cao, N. A. Schmid and T. Bourlai (2016). Local Operators and Measures for Heterogeneous Face Recognition. Face Recognition Across the Imaging Spectrum. T.