Facial expression recognition based on Gabor transform and FastICA

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (24): 178-181.

• 图形、图像、模式识别 • Previous Articles Next Articles

Facial expression recognition based on Gabor transform and FastICA

DING Weifu，JIANG Wei，ZHANG Liangliang

School of Information Science and Engineering，Shandong University，Jinan 250100，China

Received:1900-01-01 Revised:1900-01-01 Online:2011-08-21 Published:2011-08-21

结合Gabor变换和FastICA的人脸表情识别方法

丁维福，姜威，张亮亮

山东大学信息科学与工程学院，济南 250100

Abstract

Abstract: An effective method for the facial expression feature extraction is presented by combining the Gabor transform with the Fast Independent Component Analysis（FastICA）.Gabor wavelets exhibit strong characteristics of spatial locality and orientation selectivity，which are good for the extraction of the image’s texture.FastICA can reduce the redundancy of high-order statistics.The Gabor transform is carried out on each original image，and the outputs are concatenated into a Gabor feature vector.FastICA approach is used to extract features from the Gabor feature vectors of all the images.The K-neighbor method is used for classification.A series of experiments performed on the JAFFE database indicate the efficiency of the proposed method.

Key words: facial expression recognition, feature extraction, Gabor transform, fast independent component analysis

摘要： 提出了一种结合Gabor变换和FastICA技术的人脸表情特征提取方法。Gabor小波具有很好的空频局部性和多方向选择性，因此更有利于表情细节信息的提取。FastICA技术能够消除信号间的高阶统计冗余。对图像进行Gabor变换，把得到的系数排列成Gabor特征矢量，用FastICA对Gabor特征矢量进行特征提取，用K-近邻分类器进行分类。JAFFE表情库中的实验证明该方法的有效性。

关键词: 表情识别, 特征提取, Gabor变换, 快速独立成分分析

DING Weifu，JIANG Wei，ZHANG Liangliang. Facial expression recognition based on Gabor transform and FastICA[J]. Computer Engineering and Applications, 2011, 47(24): 178-181.

丁维福，姜威，张亮亮. 结合Gabor变换和FastICA的人脸表情识别方法[J]. 计算机工程与应用, 2011, 47(24): 178-181.

[1]	BAO Zhiqiang, XING Yu, LYU Shaoqing, HUANG Qiongdan. Improved YOLO V2 6D Object Pose Estimation Algorithm [J]. Computer Engineering and Applications, 2021, 57(9): 148-153.
[2]	XU Degang, WANG Lu, LI Fan. Review of Typical Object Detection Algorithms for Deep Learning [J]. Computer Engineering and Applications, 2021, 57(8): 10-25.
[3]	JIANG Bin, ZHONG Rui, ZHANG Qiuwen, ZHANG Huanlong. Survey of Non-frontal Facial Expression Recognition by Using Deep Learning Methods [J]. Computer Engineering and Applications, 2021, 57(8): 48-61.
[4]	HU Wentao, CHEN Xiuhong. Low-Rank Projection Learning Based on Neighbor Graph [J]. Computer Engineering and Applications, 2021, 57(7): 209-214.
[5]	ZHANG Xiaoli, ZHANG Kuixing, JIANG Mei, WEI Benzheng, CONG Jinyu. Review of Image Classification Technology for Lymphoma [J]. Computer Engineering and Applications, 2021, 57(6): 1-9.
[6]	XIONG Jian, QIN Renchao, HE Mengyi, LIU Jianlan, TANG Fengyang. Application of Improved Random Forest Algorithm in Android Malware Detection [J]. Computer Engineering and Applications, 2021, 57(3): 130-136.
[7]	YANG Luyue, ZHANG Shumei, ZHAO Junli. Dynamic Expression Recognition with Partial Occlusion Based on Parallel Gan [J]. Computer Engineering and Applications, 2021, 57(24): 168-178.
[8]	ZHANG Hongli, BAI Xiangyu. Facial Expression Recognition Method Using Optimized Pruning GoogLeNet [J]. Computer Engineering and Applications, 2021, 57(19): 179-188.
[9]	LI Longlong, HE Dongjian, WANG Meili. Study of Plant Leaf Image Recognition Based on Improved Local Binary Pattern Algorithm [J]. Computer Engineering and Applications, 2021, 57(19): 228-234.
[10]	LI Jie, LI Miao, YUAN Xiguo. Detection Algorithm?of Pathogenic Microbes from Next-Generation Sequencing Data [J]. Computer Engineering and Applications, 2021, 57(19): 282-289.
[11]	GUO Hengguang, LIU Wenbiao, YU Renbo. Shape Feature Extraction Using Spike Function [J]. Computer Engineering and Applications, 2021, 57(18): 220-226.
[12]	LI Zhenqiang, WANG Shucai, ZHAO Shida, BAI Yu. Cutting Methods of Sheep’s Trunk Based on Improved DeepLabv3+ and XGBoost [J]. Computer Engineering and Applications, 2021, 57(18): 263-269.
[13]	LIU Xingchen, JIA Juncheng, ZHANG Li, HU Qinhan. Feature Concentration Network for Image Super-Resolution [J]. Computer Engineering and Applications, 2021, 57(16): 213-219.
[14]	GUANG Ruizhi, AN Bowen, PAN Shengda. Channel Ship Detection Algorithm for Aerial Image Based on Anchor-Free Network [J]. Computer Engineering and Applications, 2021, 57(15): 251-258.
[15]	ZHOU Xiaojing, CHEN Junhong, YANG Zhenguo, LIU Wenyin. Manipulation Action Recognition Based on Gesture Feature Fusion [J]. Computer Engineering and Applications, 2021, 57(14): 169-175.

Facial expression recognition based on Gabor transform and FastICA

结合Gabor变换和FastICA的人脸表情识别方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics