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This paper proposes a novel facial image representation Block-based Local Contrast Patterns (BLCP) for illumination-robust face recognition. This method is based on an effective texture descriptor local contrast patterns (LCP). We use the directed and undirected difference masks to calculate three types of local intensity contrasts: directed, undirected, and maximum difference responses. These response...
In this paper, a novel classifier, called superimposed sparse parameter (SSP) classifier is proposed for face recognition. SSP is motivated by two phase test sample sparse representation (TPTSSR) and linear regression classification (LRC), which can be treated as the extended of sparse representation classification (SRC). SRC uses all the train samples to produce the sparse representation vector for...
Face recognition at a distance is still a challenging problem due to the low resolution face images resulting from the remote distance. To motivate researches on the problem and make up for the shortage of existing databases, we introduce MDCI database in this paper. The database contains 677 videos and 9734 pictures from 155 subjects captured by five different cameras, at four kinds of distances...
Local ternary pattern (LTP) is a noise-robust version of local binary pattern (LBP). They are both encoding for the differences between the intensity of the center pixel and its neighborhoods. In this paper, based on Webers law we propose two new local descriptors, named Weber binary pattern (WBP) and Weber ternary pattern (WTP), which utilize binary and ternary encoding separately for the evaluation...
Face representation, including both feature extraction and feature selection, is the key issue for a successful face recognition system. In this paper, we propose a novel face representation scheme based on nonsubsampled contourlet transform (NSCT) and block-based kernel Fisher linear discriminant (BKFLD). NSCT is a newly developed multiresolution analysis tool and has the ability to extract both...
The influence of age progression on the performance of face verification systems is a challenging and largely open research problem. When only one reference and one test image per subject are available, in this paper we propose to manage the aging influence on the adult face verification system through a score-age stacking technique to find the global decision boundary which can change across the...
The influence of age progression on the performance of multi-classifier face verification systems is a challenging and largely open research problem that deserves more and more attention. In this paper, we propose to manage the aging influence on the adult face verification system by a multi-classifier Q-stack age modeling technique, which uses the age as a class-independent metadata quality measure...
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