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We present a novel three-dimensional (3D) face matching approach in this paper. First, 3D facial scans are segmented and four feature points of each face are detected for rough alignment the by Absolute Orientation method. Then a modified Iterative Closest Point (ICP) algorithm is employed for range image registration. A Simulated Annealing (SA) based approach with the Surface Interpenetration Measure...
Segmentation and extraction of face features from 2D images has been researched extensively in the past. Recent research shows that algorithms incorporating 3D information often perform better than purely 2D approaches in many areas of computer vision including face biometrics and recognition. Cheaper and readily available 3D data acquisition devices combined with improved 3D reconstruction algorithms...
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