Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2007.06a
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- Pages.153-156
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- 2007
A Fast Method for Face Detection based on PCA and SVM
- Xia, Chun-Lei (Dept of Computer Science, Gyeong-Sang National University) ;
- Shin, Hyeon-Gab (Dept of Computer Science, Gyeong-Sang National University) ;
- Ha, Seok-Wun (Dept of Computer Science, Gyeong-Sang National University)
- Published : 2007.06.01
Abstract
In this paper, we propose a fast face detection approach using PCA and SVM. In our detection system, first we filter the face potential area using statistical feature which is generated by analyzing local histogram distribution. And then, we use SVM classifier to detect whether there are faces present in the test image. Support Vector Machine (SVM) has great performance in classification task. PCA is used for dimension reduction of sample data. After PCA transform, the feature vectors, which are used for training SVM classifier, are generated. Our tests in this paper are based on CMU face database.