Enhanced 3D mesh for face recognition

Abstract

We propose a robust face identification method based on high saliency extraction. The adopted algorithm is performed on enhanced tri-dimensional data mesh. The enhancement stage aims to upgrade the quality of the scanned data by inhibiting noises, correcting missing information and smoothing the surface. Then, Gaussian curvatures and mean curvatures are calculated from principal curvature computation in furtherance of feature extraction. Next, referential curvature points are selected and utilized to perform the matching process. The results of our experimental essay have been evaluated by comparing them to similar advanced studies and have advantageously manifested bright levels of identification rates.