Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
488523 | Procedia Computer Science | 2016 | 5 Pages |
Abstract
One of the most remarkable ability of human vision system is to recognize face. Robustness to variations in facial expressions is one of the greatest challenges in field of face recognition. Human face can have lot of variations in appearance. Face recognition system must be capable of identifying face despite these variations. This study is an effort to address the effect of varying illumination and pose conditions in face recognition. Under varying illumination and pose conditions, the face of same person appears to be different due to varying lightening and different viewing conditions. Majority of research in this field has been focused on frontal face recognition.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Manminder Singh, A.S. Arora,