激光与光电子学进展, 2020, 57 (18): 181026, 网络出版: 2020-09-02  

基于眼部数据的挡车工表情识别方法 下载: 811次

Facial Expression Recognition Method of Spinner Based on Eye Data
作者单位
西安工程大学管理学院, 陕西 西安 710048
引用该论文

邵景峰, 冯海强. 基于眼部数据的挡车工表情识别方法[J]. 激光与光电子学进展, 2020, 57(18): 181026.

Jingfeng Shao, Haiqiang Feng. Facial Expression Recognition Method of Spinner Based on Eye Data[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181026.

参考文献

[1] Yeh RA, ChenC, Lim TY, et al.Semantic image inpainting with deep generative models[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA.New York: IEEE Press, 2017: 6882- 6890.

[2] Hammal Z, Arguin M, Gosselin F. Comparing a novel model based on the transferable belief model with humans during the recognition of partially occluded facial expressions[J]. Journal of Vision, 2009, 9(2): 22.

[3] Cotter SF. Recognition of occluded facial expressions using a fusion of localized sparse representation classifiers[C]∥2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), January 4-7, 2011, Sedona, AZ, USA.New York: IEEE Press, 2011: 437- 442.

[4] 王素琴, 高宇豆, 张加其. 基于生成对抗网络的遮挡表情识别[J]. 计算机应用研究, 2019, 36(10): 3112-3115, 3120.

    Wang S Q, Gao Y D, Zhang J Q. Occluded facial expression recognition based on generative adversarial networks[J]. Application Research of Computers, 2019, 36(10): 3112-3115, 3120.

[5] 王海涌, 梁红珠. 基于改进的GAN的局部遮挡人脸表情识别[J]. 计算机工程与应用, 2020, 56(5): 141-146.

    Wang H Y, Liang H Z. Recognition of occluded facial expressions based on improved generative adversarial network[J]. Computer Engineering and Applications, 2020, 56(5): 141-146.

[6] 叶学义, 罗宵晗, 王鹏, 等. 基于非凸低秩分解判别的叠加线性稀疏人脸识别[J]. 中国图象图形学报, 2019, 24(8): 1327-1337.

    Ye X Y, Luo X H, Wang P, et al. Face recognition with superposed linear sparse representation based on discriminative nonconvex low-rank matrix decomposition[J]. Journal of Image and Graphics, 2019, 24(8): 1327-1337.

[7] 张红颖, 王汇三. 结合LBP和梯度特征的双通道表情识别[J]. 激光与光电子学进展, 2020, 57(14): 141005.

    Zhang H Y, Wang H S. Double-channel facial expression recognition combining LBP with gradient features[J]. Laser and Optoelectronics Progress, 2020, 57(14): 141005.

[8] Ashkanasy NM. Emotions in organizations: a multi-level perspective[M] ∥Dansereau F, Yammarino F J. Multi-level issues in organizational behavior and strategy. Bingley: Emerald Group Publishing Limited, 2003: 9- 54.

[9] Totterdell P. Catching moods and hitting runs: mood linkage and subjective performance in professional sport teams[J]. Journal of Applied Psychology, 2000, 85(6): 848-859.

[10] Brief A P, Weiss H M. Organizational behavior: affect in the workplace[J]. Annual Review of Psychology, 2002, 53(1): 279-307.

[11] Miner A G, Glomb T M. State mood, task performance, and behavior at work: a within-persons approach[J]. Organizational Behavior and Human Decision Processes, 2010, 112(1): 43-57.

[12] 李刚, 程砚秋, 董霖哲, 等. 基尼系数客观赋权方法研究[J]. 管理评论, 2014, 26(1): 12-22.

    Li G, Cheng Y Q, Dong L Z, et al. Research on objective weighting method of Gini coefficient[J]. Management Review, 2014, 26(1): 12-22.

[13] 李海彦, 徐汀荣, 张立晓, 等. 基于仿射变换的多姿态人脸矫正和识别[J]. 计算机应用研究, 2014, 31(4): 1215-1219, 1228.

    Li H Y, Xu T R, Zhang L X, et al. Multi-pose face correction and recognition based on affine transformation[J]. Application Research of Computers, 2014, 31(4): 1215-1219, 1228.

[14] 褚晶辉, 吴泽蕤, 吕卫, 等. 基于迁移学习和深度卷积神经网络的乳腺肿瘤诊断系统[J]. 激光与光电子学进展, 2018, 55(8): 081001.

    Chu J H, Wu Z R, Lü W, et al. Breast cancer diagnosis system based on transfer learning and deep convolutional neural networks[J]. Laser and Optoelectronics Progress, 2018, 55(8): 081001.

[15] 富雅捷, 张宏立. 基于迁移学习的卷积神经网络森林火灾检测方法[J]. 激光与光电子学进展, 2020, 57(4): 041010.

    Fu Y J, Zhang H L. Forest fire detection method based on transfer learning of convolutional neural network[J]. Laser and Optoelectronics Progress, 2020, 57(4): 041010.

邵景峰, 冯海强. 基于眼部数据的挡车工表情识别方法[J]. 激光与光电子学进展, 2020, 57(18): 181026. Jingfeng Shao, Haiqiang Feng. Facial Expression Recognition Method of Spinner Based on Eye Data[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181026.

引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!