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Aging face identification is a challenging task because facial aging process could degrade recognition performance dramatically. In this paper, we propose a method based on HMAX model and PCA to improve aging face identification performance. Since aging face images invariably differ in rotation, lighting and size, we normalize each face images to a standard size for minimizing these variations. After...
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...
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