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To deal with the variations caused by age, an aging face recognition method Based on HMAX model, which motivated by a quantitative model of visual cortex, was proposed to achieve temporal invariance. First, each face image was normalized to a standard size. Second, the C1-S features, which preserve facial texture and shape information, were defined by facial key points and HMAX model to represent...
Children are usually treated differently from adults in many computer vision applications. To classify children from adults by face images in a natural and non-intrusive way, a method using improved bio-inspired features (C1-S) is presented in this paper. To reduce the negative influence of individual differences, active shape model (ASM) is used to extract 58 landmarks for face normalization. Motivated...
This paper proposes an enhanced MDL Shape Model to solve the point correspondence problem. The current MDL methods build models mainly based on shape information and may get bad models. Motivated by the biologically inspired features (BIF), which inspired by visual cortex, we compute the C1 response on the master node and add the cost of BIF across training set to the objective function of MDL Shape...
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