Title :
Robust image based face recognition
Author :
Zhao, Wenyi ; Chellappa, Rama
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
Abstract :
In face recognition literature, 2D image based approaches are possibly the most promising ones. However, the 2D images/patterns can change dramatically in practice. We first study the performance degradation due to 2D distortions and illumination variations on the input images. We then propose several methods to improve the system performance. Finally experiments are carried out using FERET and other face databases to demonstrate the improvement of one particular system-the subspace LDA system
Keywords :
face recognition; lighting; parameter estimation; 2D distortions; 2D image recognition; 2D images/patterns; FERET; distortion parameter estimation; face databases; illumination variations; input images; performance degradation; robust image based face recognition; subspace LDA system; system performance; Automation; Degradation; Face detection; Face recognition; Feeds; Image databases; Lighting; Nonlinear distortion; Robustness; System performance;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.900887
