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In this paper, we propose a new scheme of Gabor-based face recognition. Based on the fact that different Gabor filters have different properties, we first learn discriminating subspace for each kind of Gabor images respectively. Then the boosting learning is performed to fuse all the Gabor discriminating subspaces for recognition. Compared with previous work, the proposed method has three contributions:...
A new concept of drying moisture uniformity which shows properties of mathematical statistics is defined for paddy drying in a deep fixed-bed based on analyzing the existing indexes. A series of paddy drying experiments including single-factor experiments, quadratic orthogonal rotary combination experiments and duplicate tests were conducted in a deep fixed-bed. Influence laws of each experiment factor...
In this paper, we first conceive a new perception of the kernel feature. The kernel subspace methods can be regarded as two independent steps: an explicit kernel feature extraction step and a linear subspace analysis step on the extracted kernel features. The kernel feature vector of an image is composed of dot products between the image and all the training images using nonlinear dot product kernel...
In this paper, we propose a real-time face detection approach based on local structure and texture of the objects in gray-level images. Our strategy is to map the local spatial structures and image textures of face class into binary patterns, and use these binary patterns as local descriptors. Boosting based face detector is constructed using these local descriptors, and cascade scheme is employed...
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