Abstract：ICA, which is a sufficient method of extracting independent features based on the higher statistic information of data,can express the local facial feature better. ICA is the extension of PCA from second-order statistic analysis to higher statistic analysis. A facial feature extraction algorithm combined these two methods by being weighted is presented in this article, and face recognition experiments are performed with different similar measurement. The result indicates that the proposed method is better than those that use one method only.
收稿日期: 2007-03-25
引用本文:
王展青,刘小双,张桂林,王仲君. 基于PCA与ICA的人脸识别算法研究[J]. , 2007, 46(3): 0-0.
王展青,刘小双,张桂林,王仲君. Face recognition based on PCA and ICA. , 2007, 46(3): 0-0.
