JP Journal of Heat and Mass Transfer
Special Volume, Issue I, Advances in Mechanical System and ICT-convergence, Pages 119 - 124
(June 2018) http://dx.doi.org/10.17654/HMSI118119 |
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VIDEO-BASED FACE RECOGNITION USING SHAPE AND TEXTURE INFORMATION IN 3D MORPHABLE MODEL
Khoa Tan Truong and Thai Hoang Le
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Abstract: In this paper, a novel approach, based on combining 3D Morphable Model (3DMM) to shape vector and texture variance, is proposed for face recognition in video (called 3DMM-S-TV). In detail, the system fits a face video to a 3DMM, then utilizes shape fitting coefficients and texture info to recognize face. For this purpose: (1) apply 3DMM to reconstruct 3D face; (2) form a shape vector to present each face in video; (3) calculate texture variance of each face; (4) use shape vector to estimate a face gallery in training data similar to faces in test data; (5) use minimum texture variance to identify objects from the gallery. Proposed methods are evaluated on two face video databases (YouTube Celebrities and FAMED). |
Keywords and phrases: face recognition using 3DMM, 3D face recognition. |
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