@inproceedings{714b3280ecad4038b6bafde8c827d365,
title = "Improving face recognition by online image alignment",
abstract = "Face recognition accuracy is affected by many factors. This paper studies one of the factors, and provides a reliable image alignment for face recognition. For this purpose, a performance metric is extracted from an analysis of face recognition similarity scores. The metric varies with face alignment, and has a relationship with the actual recognition accuracy. Our method adjusts face alignment online by selecting an alignment candidate corresponding to the largest performance metric. The experimental results show that the presented method can improve the accuracy and robustness of current face recognition systems.",
author = "Peng Wang and Tran, \{Lam Cam\} and Qiang Ji",
year = "2006",
doi = "10.1109/ICPR.2006.701",
language = "English",
isbn = "0769525210",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "311--314",
booktitle = "Track A",
address = "United States",
note = "18th International Conference on Pattern Recognition, ICPR 2006 ; Conference date: 20-08-2006 Through 24-08-2006",
}