Title :
3D model enhanced face recognition
Author :
Zhao, Wen Yi ; Chellappa, Rama
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
Abstract :
A personal identification system based on the analysis of frontal or profile images of the face has applications in human-computer interfaces, access control, surveillance etc. Among many practical face recognition schemes, image based approaches are possibly the most promising ones. However, the 2D images/patterns of 3D face objects can change dramatically due to lighting and viewing variations. In this paper, we propose a generic 3D model to enhance existing face recognition systems. More specifically, we use a 3D model to synthesize the so-called prototype image from a given image acquired under different lighting and viewing conditions
Keywords :
face recognition; lighting; 3D model; access control; enhanced face recognition; frontal image; human-computer interfaces; lighting conditions; personal identification system; profile image; prototype image synthesis; surveillance; viewing conditions; Automation; Degradation; Face detection; Face recognition; Image recognition; Image segmentation; Lighting; Prototypes; Surveillance; System testing;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899285
