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A robust technique for recognition of 3D faces which performs well with face images with various poses, expressions and occlusions. In this method, the face images represented in 3D mesh format are smoothed using trilinear interpolation and then converted to 2.5D image or range images. Nose-tip which is the most prominent feature on human face is detected first on the corner points selected by 3D...
This paper outlines a Nose tip localization technique in case of 2.5D as well as 3D meshes. No normalization process is applied and the process correctly localizes nose tip across any pose (including rotation in any direction in 3D space namely about x-axis, y-axis and z-axis).The present technique works by taking a facial image as input, and after which a thresholding process is applied to remove...
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