一种边缘二进制码的表情识别方法

doi:10.3969/j.issn.1001-2400.2015.03.031

Abstract

Abstract:

Facial expression recognition mainly involves face locating, feature extraction, and expression classification. However, extracting effective features of facial expressions from original face images is a vital step for improving facial expression recognition. In this paper, a binary code of edge method is proposed for extracting the expression feature, which is used for facial expression recognition. Firstly, the face image is processed by an edge detection operator. Then, the proposed binary code method is applied to describe the edge binary image as the expression feature. Finally, the SVM classifier is used for facial expression recognition. Experiments are performed on JAFFE facial expression database, and the results show that the proposed method achieves a higher recognition rate than the traditional method.

Key words: facial expression recognition, feature extraction, binary images, edge detection

CLC Number:

TP391

FENG Xiaoyi;LAI Yangming;WANG Wenxing;CUI Shaoxing;PENG Jinye;JIANG Xiaoyu. Facial expression recognition based on the binary code of edges[J].J4, 2015, 42(3): 186-191.

References

［1］ Youssif A A A, Asker W A A. Automatic Facial Expression Recognition System Based on Geometric and Appearance Features ［J］. Computer and Information Science, 2011, 4(2): 115-124.
［2］ Liu Weifeng, Song Caifeng, Wang Yanjiang, et al. Facial Expression Recognition Based on Gabor Features and Sparse Representation ［C］//IEEE Proceedings of 12 International Conference on Control, Automation, Robotics ＆ Vision. Piscataway: IEEE, 2012: 1402-1406.
［3］ Banerji S, Sinha A, Liu Chengjun. New Image Descriptors Based on Color, Texture, Shape and Wavelets for Object and Scene Image Classification ［J］. Neurocomputing, 2013, 117: 173-185.
［4］ Zalewski L, Gong Shaogang. Synthesis and Recognition of Facial Expressions in Virtual 3D Views ［C］//IEEE International Conference on Automatic Face and Gesture Recognition. Piscataway: IEEE, 2004: 493-498.
［5］ Shrinivasa N C L, Shekhar J S, Das P K, et al. Automatic Facial Expression Recognition Using Extended AR-LBP ［C］//Proceedings of 6th International Conference on Information Processing. Berlin: Springer, 2012: 244-252.
［6］ Zhang Shiqing, Zhao Xiaoming, Lei Bicheng. Facial Expression Recognition Based on Local Binary Patterns and Local Fisher Discriminant Analysis ［J］. Wseas Transactions on Signal Processing, 2012, 8(1): 21-31.
［7］ Shrinivasa N C L, Das P K, Nair S B. Asymmetric Region Local Binary Pattern Operator for Person-dependent Facial Expression Recognition ［C］//Proceedings of 2012 International Conference on Computing, Communication and Applications. Piscataway: IEEE, 2012: 1-5.
［8］ Chellappa R, Wilson C L, Sirohey S. Human and Machine Recognition of Faces: a Survey ［J］. Proceedings of the IEEE, 1995, 83(5): 705-741.
［9］ Ekman P, Friesen W V, Hager J C. Facial Action Coding System ［M］. 2nd ed. London: Weidenfeld and Nicolson, 2002.
［10］赵晖, 王志良, 刘瑶峰. 人脸活动单元自动识别研究综述［J］. 计算机辅助设计与图形学学报, 2010, 22(5): 894-903.
Zhao Hui, Wang Zhiliang, Liu Yaofeng. A Survey of Automatic Facial Action Units Recognition ［J］. Journal of Computer Aided-Design ＆ Computer Graphics, 2010, 22(5): 894-903.
［11］应自炉, 方谢燕. 基于局部二元模式的面部表情识别研究［J］.计算机工程与应用, 2009, 45(29): 180-183.
Ying Zilu, Fang Xieyan. Facial Expression Recognition Research Based on Local Binary Pattern ［J］. Computer Engineering and Applications, 2009, 45(29): 180-183.
［12］ Anand G, Ravi K D, Rahul G, et al. DGW-Canny: an Improvised Version of Canny Edge Detector ［C］//Proceedings of 2011 International Symposium on Intelligent Signal Processing and Communication Systems. Piscataway: IEEE, 2011:1-6.
［13］章为川, 水鹏朗, 徐国靖. 边缘线上各向异性高斯核信息熵的角点检测［J］. 西安电子科技大学学报, 2013, 40(4): 119-124.
Zhang Weichuan, Shui Penglang, Xu Guojing. Corner Detection via Anisotropic Gaussian Kernels Information Entropy on Edge Contours ［J］. Journal of Xidian University, 2013, 40(4): 119-124.
［14］ Song Jiatao, Chi Zheru, Liu Jilin, et al. Extraction of the Face Image Edges with Application to Expression Analysis ［C］//Proceedings of 8th International Conference on Control, Automation. Piscataway: IEEE, 2004: 804-809.
［15］ Wu H C, Lu Jiahong. Effective Distance Measure for Unusual Facial Expression Detection of Human Face Images ［C］//Proceedings of 2th International Symposium on Aware Computing. Piscataway: IEEE, 2010: 18-23.
［16］ Valstar M, Patras I, Pantic M. Facial Action Unit Detection Using Probabilistic Actively Learned Support Vector Machines on Tracked Facial Point Data ［C］//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Piscataway: IEEE, 2005: 76-84.

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Facial expression recognition based on the binary code of edges

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