title: Pose-Invariant Face Recognition via RGB-D Images.
abstract: Three-dimensional (3D) face models can intrinsically handle large pose face recognition problem. In this paper, we propose a novel pose-invariant face recognition method via RGB-D images. By employing depth, our method is able to handle self-occlusion and deformation, both of which are challenging problems in two-dimensional (2D) face recognition. Texture images in the gallery can be rendered to the same view as the probe via depth. Meanwhile, depth is also used for similarity measure via frontalization and symmetric filling. Finally, both texture and depth contribute to the final identity estimation. Experiments on Bosphorus, CurtinFaces, Eurecom, and Kiwi databases demonstrate that the additional depth information has improved the performance of face recognition with large pose variations and under even more challenging conditions.
authors.affiliation: State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, Sichuan 610064, China.
authors.forename: Gaoli
authors.initials: G
authors.lastname: Sang
authors.affiliation: State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, Sichuan 610064, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: State Key Laboratory of Fundamental Science on Synthetic Vision, College of Computer Science, Sichuan University, Chengdu, Sichuan 610064, China.
authors.forename: Qijun
authors.initials: Q
authors.lastname: Zhao
mesh_terms: D056667:Biometric Identification; D016208:Databases, Factual / Q000706:statistics & numerical data; D005145:Face; D006801:Humans; D021621:Imaging, Three-Dimensional; D010363:Pattern Recognition, Automated; D010364:Pattern Recognition, Visual / Q000502:physiology*; D011187:Posture; D013997:Time Factors
references.citation: IEEE Trans Pattern Anal Mach Intell. 2009 Feb;31(2):210-27
references.pmid: 19110489
references.citation: IEEE Trans Image Process. 2010 Jun;19(6):1635-50
references.pmid: 20172829