DocumentCode :
3571135
Title :
Multi-subregion based probabilistic approach toward pose-invariant face recognition
Author :
Kanade, Takeo ; Yamada, Akihiko
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
2
fYear :
2003
Firstpage :
954
Abstract :
Current automatic facial recognition systems are not robust against changes in illumination, pose, facial expression and occlusion. In this paper, we propose an algorithm based on a probabilistic approach for face recognition to address the problem of pose change by a probabilistic approach that takes into account the pose difference between probe and gallery images. By using a large facial image database called CMU PIE database, which contains images of the same set of people taken from many different angles, we have developed a probabilistic model of how facial features change as the pose changes. This model enables us to make our face recognition system more robust to the change of poses in the probe image. The experimental results show that this approach achieves a better recognition rate than conventional face recognition methods over a much larger range of pose. For example, when the gallery contains only images of a frontal face and the probe image varies its pose orientation, the recognition rate remains within a less than 10% difference until the probe pose begins to differ more than 45 degrees, whereas the recognition rate of a PCA-based method begins to drop at a difference as small as 10 degrees, and a representative commercial system at 30 degrees.
Keywords :
Gaussian distribution; face recognition; lighting; probability; visual databases; Gaussian distribution; PCA method; automatic facial recognition systems; frontal face; gallery images; illumination; image database; pose invariant face recognition; probabilistic model; probe image; recognition rate; Face detection; Face recognition; Facial features; Image databases; Image recognition; Lighting; Probes; Robots; Robustness; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
Type :
conf
DOI :
10.1109/CIRA.2003.1222308
Filename :
1222308
Link To Document :
بازگشت