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A novel method for color image feature extraction is proposed. First of all, non-iterative bilateral projection based 2DPCA algorithm (NIB2DPCA) is employed to extracted feature information from three channels of a given color image respectively. Then the three extracted feature matrices are reconstructed to form a two-dimension middle matrix. After that, NIB2DPCA is employed again to extract features...
In this paper, color facial expression recognition based on color local features is investigated, in which each color facial image is decomposed into three color component images. For each color component image, we extract a set of color local features to represent the color component image, where color local features could be either color local binary patterns (LBP) or color scale-invariant feature...
In a wide range of color-related computer vision applications, researchers tried to select one of the conventional color spaces as the optimum one. This paper, however, addresses the problem of how to learn an optimum color space from the given training sample set. We seek a set of optimal coefficients to combine the R, G and B components based on a discriminant criterion and then gain one discriminant...
In video surveillance, resolution and illumination are two main factors affecting the performance of face detection and recognition. In this paper, a new framework is proposed to extract face images from low resolution and variant illumination video sequences, which includes two parts: face detection and face hallucination. We create skin GMMs in CbCr and H-SV space to detect face in different low...
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