3D face recognition

In this paper, we compare face recognition performances of various features applied on registered 3D scans of faces. The features we compare are DFT or DCT-based features, ICA-based features and NNMF-based features. We apply the feature extraction techniques to three different representations of registered faces: 3D point clouds, 2D depth images and 3D voxel representations. We also consider block-based DFT or DCT-based local features on 2D depth images and their fusion schemes. Experiments using different. combinations of representation types and feature vectors are conducted on the 3D-RMA dataset.