@inproceedings{f148c2668a354918a905c326363636db,
title = "Face recognition using scale invariant feature transform and support vector machine",
abstract = "Face recognition has received significant attention in the last decades for many potential applications. Recently, the Scale Invariant Feature Transform (SIFT) becomes an interesting technique for the task of object recognition. This paper investigated the application of the SIFT approach to the face recognition and proposed a new method based on SIFT and Support Vector Machine (SVM) for the face recognition problem. First the SIFT features are generated and then SVM is used for the classification. The presented method has been tested with the ORL database and the Yale face database, and the recognition results demonstrate its robust performance under different expression conditions.",
keywords = "Face recognition, SIFT feature, Support vector machine (SVM)",
author = "Lichun Zhang and Junwei Chen and Yue Lu and Patrick Wang",
year = "2008",
doi = "10.1109/ICYCS.2008.481",
language = "英语",
isbn = "9780769533988",
series = "Proceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008",
pages = "1766--1770",
booktitle = "Proceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008",
note = "9th International Conference for Young Computer Scientists, ICYCS 2008 ; Conference date: 18-11-2008 Through 21-11-2008",
}