Abstract:
This article gives analysis on independent component analysis (ICA) based on the recognition of facial expression. It trys to find the influence of single IC to the recognition rate of facial expression. Then the article concludes the way of how to select independent subspace efficiently.
Key words:
Independent component analysis(ICA),
Facial expression recognition,
Independent subspace
摘要：
以人脸的表情识别为实验背景，分析了在对人脸表情的识别过程中，单个独立分量对识别率的影响，由此进一步总结了在表情识别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空间所需的独立分量的个数。
关键词:
独立成分分析,
表情识别,
独立子空间
XU Zhengguang; YAN Hengchuan; ZHANG Lixin. Study of Independent Component Analysis Based on Facial Expression Recognition[J]. Computer Engineering, 2006, 32(24): 183-185.
徐正光;闫恒川;张利欣. 基于表情识别的独立成分分析方法的研究[J]. 计算机工程, 2006, 32(24): 183-185.