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In this paper, we proposed a novel face representation method: Local Binary Pattern of Maximum Gabor Response. This method is inspired by the HMAX model in biological vision. We first use multi-scales & multi-orientations Gabor filters to simulate the response of simple cells in visual cortex. For a given scale, we get the maximum responses maps from all orientations. Then LBP operator is used...
Scene classification is a hot topic in pattern recognition and computer vision area. In this paper, based on the past research on vision neuroscience, we proposed a new biologically inspired feature method for scene image classification. The new feature accounts for the visual processing from simple cell to complex cell in V1 area, and also the spatial layout for scene gist signature. It provides...
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