基于FastICA算法的人脸识别

Xianqiu Wang, Xiaoli Huang, Xiubi Wang
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引用次数: 3

摘要

提出了一种基于FastICA算法的人脸图像自适应特征提取方法。在广泛的模拟中,我们对定点ICA算法和功率ICA算法进行了有利的比较。实验结果表明,该方法不仅可以获得最高的人脸识别性能,而且可以显著提高人脸识别性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Face Recognition Using FastICA Algorithm
A new adaptive feature extraction method of facial image based on FastICA algorithm is presented. We present favorable comparisons to the Fixed-point ICA algorithm and the Power ICA algorithm in extensive simulations. Experimental results have demonstrated that the proposed method can not only yields the highest performance for identifying faces but also significant improves the face recognition performance.
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