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| Article Name : | | | ROBUST THREE DIMENSION FACE SEGMENTATION USING VECTOR COLOUR AND DEPTH ANALYSIS | | Author Name : | | | M. Soundararajan and S. Selvamuthu Kumaran | | Publisher : | | | Ashok Yakkaldevi | | Article Series No. : | | | GRT-6569 | | Article URL : | |  | Author Profile View PDF In browser | | Abstract : | | | In this paper, we recommend a framework for Face recognition Structure 3D using segmentation by grouping of district of facial images previously and after fusion of double modalities (intensity and depth images). Earlier, the finding of face region is depending on the localization of the nose tip and integral projection curves. Then, the appearances resulting from Basis Component Analyses (BCA) followed by Expand Fisher Model (EFM) are extracted. Finally, the distribution function is performed with double approach, distance measurement L and Support Vector Appliance (SVA). Experiments are performed on the CASIA 3D face information base which contains 123 persons under varying illumination and expression. We have tried to examine all the variables associated with our technique in order to optimize the ultimate our recognition structure. The promising reaction of the preliminary evaluation appearance that our confirm approach achieves a large recognizance performance. | | Keywords : | | - Face recognition Structure 3D,Fusion,Segmentation and Distribution.,
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