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The facial features segmentation based on image information, due to the influence of illumination, posture variation and expression, segmentation accuracy is literally not too inspiring. Using 3D face model is one of the effective approaches to tackle the problems above. In this paper, an effective method of 3D facial features segmentation based on the geometric features and statistical features of...
We present a novel method for 3D face recognition, in which the 3D facial surface is first mapped into a 2D domain with specified resolution through a global optimization by constrained conformal geometric maps. The Intrinsic Shape Description Map (ISDM) is then constructed through a modeling technique capable to express geometric and appearance information of the 3D face. Hence the 3D surface matching...
3D information provides a significant improvement in recognition performance over 2D facial image data. However, the existing 3D approaches show limitations dealing with pose variation, e.g., 3D facial surfaces need to be aligned before the match operation. In this paper, an original framework which has the scale, rotation and expression invariance based on geometric invariant feature is proposed...
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