3D Face Recognition Based on the Analysis of Significant Features

摘要

Visual saliency reflects that we always focus on the significant region of a scene and processes it preferentially. In this paper we present a 3D face recognition algorithm based on the analysis of significant features. It separated the target region and surrounding environment of human face and highlighted the target region evenly. After the fusion of texture, depth and normal features, we got 91.3% accuracy.