3D Model Enhanced Face Recognition
نویسندگان
چکیده
A personal identiication system based on the analysis of frontal or proole images of the face has applications in human-computer interfaces, access control , surveillance etc. Among many practical face recognition schemes, image based approaches are possibly the most promising ones. However, the 2D im-ages/patterns of 3D face objects can change dramatically due to lighting and viewing variations. In this paper , we propose a generic 3D model to enhance existing face recognition systems. More speciically, we use a 3D model to synthesize the so-called prototype image from a given image acquired under diierent lighting and viewing conditions.
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