Study of Independent Component Analysis Based on Facial Expression Recognition

doi:10.3969/j.issn.1000-3428.2006.24.066

Computer Engineering ›› 2006, Vol. 32 ›› Issue (24): 183-185. doi: 10.3969/j.issn.1000-3428.2006.24.066

• Artificial Intelligence and Recognition Technology • Previous Articles Next Articles

Study of Independent Component Analysis Based on Facial Expression Recognition

XU Zhengguang, YAN Hengchuan, ZHANG Lixin

(School of Information Engineering, University of Science & Technology Beijing, Beijing 100083)

Received:1900-01-01 Revised:1900-01-01 Online:2006-12-20 Published:2006-12-20

基于表情识别的独立成分分析方法的研究

徐正光，闫恒川，张利欣

(北京科技大学信息工程学院，北京100083)

Abstract

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.

/ / Recommend / Download Citations

URL: http://www.ecice06.com/EN/10.3969/j.issn.1000-3428.2006.24.066

http://www.ecice06.com/EN/Y2006/V32/I24/183

[1]	Fangyu FENG, Xiaoshu LUO, Zhiming MENG, Guangyu WANG. Facial Expression Recognition Based on Anti-Aliasing Residual Attention Network [J]. Computer Engineering, 2023, 49(8): 190-198.
[2]	RAN Ruisheng, WENG Wenwen, WANG Ning, PENG Shunshun. Expression Recognition Based on the Extraction of Key Facial Features [J]. Computer Engineering, 2023, 49(2): 254-262.
[3]	ZHENG Weipeng, LUO Xiaoshu, MENG Zhiming. Facial Expression Recognition Method Based on Improved Lightweight Rank Expansion Network [J]. Computer Engineering, 2022, 48(9): 189-196.
[4]	FENG Yang, LIU Rong, LU Tian. Facial Expression Recognition Based on Small-Scale Kernel Convolution [J]. Computer Engineering, 2021, 47(4): 262-267.
[5]	WANG Jun, ZHAO Kai, CHENG Yong. Facial Expression Recognition Model Based on Convolutional Neural Network with Occlusion Perception [J]. Computer Engineering, 2021, 47(10): 242-251.
[6]	SUN Dongmei, ZHANG Feifei, MAO Qirong. Label-Guided Domain Adaptation Method in Generative Adversarial Network for Facial Expression Recognition [J]. Computer Engineering, 2020, 46(5): 267-273,281.
[7]	KANG Jie, LI Jiawei, YANG Sili. Facial Expression Recognition Based on Convolutional Neural Network with Domain Adaption [J]. Computer Engineering, 2019, 45(12): 201-206.
[8]	FU Hui,WU Bin,LI Linfei,ZHANG Hongying. Definition Recovery of Haze Image Based on Dark Channel Prior [J]. Computer Engineering, 2016, 42(7): 232-237.
[9]	LU Bin,JIANG Xinghao,SUN Tanfeng. Objectionable Video Detection Method Based on Independent Subspace Analysis [J]. Computer Engineering, 2016, 42(11): 305-308.
[10]	FENG Bao,QIN Chuanbo. Blind Signal Separation Algorithm of Brain Image Data Based on Convex Optimization [J]. Computer Engineering, 2015, 41(8): 233-237.
[11]	FENG Bao,LIU Xiaogang. Blind Separation Method of Brain Image Data Based on Dictionary Sparsity [J]. Computer Engineering, 2015, 41(12): 269-274.
[12]	YAN Wenwu,PAN Feng. Industry Process Fault Classification Based on ICA-ELM [J]. Computer Engineering, 2015, 41(10): 290-294.
[13]	MA Bin, CHEN Jun-jie. Independent Component Analysis Method in Brain Image Data [J]. Computer Engineering, 2014, 40(3): 205-207.
[14]	LI Zhi-ping. Multi-channel Seizure Prediction Based on Support Vector Machine [J]. Computer Engineering, 2014, 40(2): 199-202,207.
[15]	BAI Lin, GAO Chao. Hyperspectral Images Lossy Compression Method Based on Independent Components Analysis [J]. Computer Engineering, 2013, 39(3): 245-249,253.

Please choose a citation manager

Content to export

Study of Independent Component Analysis Based on Facial Expression Recognition

基于表情识别的独立成分分析方法的研究

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

模态框（Modal）标题

Please choose a citation manager

Content to export

Study of Independent Component Analysis Based on Facial Expression Recognition

基于表情识别的独立成分分析方法的研究

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments