3D Face Recognition

摘要: Face recognition using standard 2D images struggles to cope with changes in illumination and pose. 3D face algorithms have been more successful dealing these challenges. shape data is used as an independent cue for has also combined texture facilitate multimodal recognition. Additionally, models pose correction calculation of the facial albedo map, which invariant illumination. Finally, achieved significant success towards expression invariance by modeling non-rigid surface deformations, removing expressions or parts-based This chapter gives overview details both well-established recent state-of-the-art techniques terms their implementation expected performance on benchmark datasets.