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Face orientation recognition based on Kinectv2 and an improved ELM model


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Liu Xuewei, Wang Lei et al. Multispectral palmprint recognition technique based on convolutional neural network[J]. Journal of Zhengzhou University (Science Edition),2021,53(03):50-55. Search in Google Scholar

A. T. Lopes, A. de, S. De, T. Oliveira-Santos, Facial expression recognition with Convolutional Neural Networks: coping with few data and the training sample order, Pattern Recognition, vol. 61, pp. 610-628, 2017. Search in Google Scholar

J.-H. Lee, H.-J. Jung, J. Yoo, A real-time face tracking algorithm using improved camshift with depth information, Journal of Electrical Engineering and Technology, vol. 12, no. 5, pp. 2067-2078, 2017. Search in Google Scholar

Manhoa Zhang, Jianglei Huo, Xinyuan Shan, Xiaofang Wang, Hongtao Wu, Face expression animation based on Kinect with mesh geometric deformation,Computer Engineering and Applications, no. 14, pp. 172-177, 2017. Search in Google Scholar

Song Juan, Zou Xiang, Yin Jianfang, Zhang Shuang. Research on face orientation recognition based on neural network[J]. Industrial Control Computer, 2017, 30(4): 111-112+125. Search in Google Scholar

Mingheng Zhang, Yu Zheng,Yibing Zhao. SVM-based driver facial orientation detection[J]. Journal of Dalian University of Technology,2013,53(06):879-884. Search in Google Scholar

Wang, J. J., Jiang, F. Q. Comparison of the development of Chinese and foreign agricultural machinery industries and strategic thinking on the development of manufacturing technology in China’s agricultural machinery industry, Tractors and Agricultural Transportation Vehicles, no. 41, pp. 15-18, 2014. Search in Google Scholar

Tan Leping,Wen Jun. Face orientation recognition method based on LVQ neural network[J]. Journal of Hubei College of Nationalities,2012,30(04):386-389. Search in Google Scholar

Y.X. Zhu,J. Gu,C.S. Liu. Face orientation recognition based on probabilistic neural network(PNN) [J]. Science and technology wind,2014,(07):80-81. Search in Google Scholar

Zhang Z. Microsoft Kinect Sensor and Its Effect[J]. Multimedia, IEEE, 2012, 19: 4-10. Search in Google Scholar

Yang Wenlu, Guo Ming. Real-time face recognition system based on Kinect[J]. Computer Application and Software,2014,31(05):64-67+214. Search in Google Scholar

Lan Shengkun. Face detection implementation based on Adaboost algorithm[J]. Computer and Information Technology,2021,29(02):16-19. Search in Google Scholar

Zuo Dengyu. Research on face detection based on Adaboost algorithm [D]. University of Science and Technology of China,2009. Search in Google Scholar

Su Hongtao. Research on face recognition technology based on statistical features[D]. University,2004. Search in Google Scholar

Jamie S, Andrew F, Mat C, et al. Real-Time Human Pose Recognition in Parts from Single Depth Images. in: Proc of Computer Vision and Pattern Recognition, 2011, 1297-1304. Search in Google Scholar

Dai Mei. Face image recognition based on Kinect [D]. Hunan University,2013. Search in Google Scholar

Liu Lei,Dong Xin. Simulation of multi-feature recognition for static grayscale images under mixed lighting interference[J].,2021,38(04):395-398+436. Search in Google Scholar

A-Zhen Zhang, Zheng-Lin Liu, Xue-Cheng Zou, et al. Design of an image scaling engine based on bicubic interpolation algorithm[J]. Microelectronics and Computer, 2007, 24(1): 49-51. Search in Google Scholar

Liang Jianbo, Chai Qun,Zhou Changmin. Multispectral face orientation recognition based on probabilistic neural network[J]. Laser Journal,2023,44(09):199-203. Search in Google Scholar

Liu J, Chen L, Du YH et al. Intelligent vehicle based on face steering control[J]. Agricultural Technology Service,2017,34(14):129-130. Search in Google Scholar

Yu Lei, Shi Feng, Wang Hui, et al. MATLAB Intelligent Algorithms 30 Case Studies [M].2 ed. Beijing: Beijing University of Aeronautics and Astronautics Press, 2015: 243. Search in Google Scholar

Qiang Jiang, Kai Chen, Deyuan Wang. Extreme learning machine image classification method based on featurefusion[J].ComputerSimulation,2021,38(03):388-392. Search in Google Scholar

Huang G,Zhou H,Ding X,et al. Extreme learning machine for re gression and multiclass classification [ J]. IEEE Transactions on Systems,Man,and Cybernetics,Part B ( Cybernetics),2011,42(2):513-529. Search in Google Scholar

Wanyu Deng,Shasha Zhang,Guangda Liu,et al. Extreme learning machine with selected hidden neurons[J]. Information Technology, 2018, 42(08): 1-3+7. Search in Google Scholar

Hashim F A, Hussain K, Houssein E H,et al. Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems[J]. Applied Intelligence, 2020:1-21. Search in Google Scholar

Luo Dan, Zhang Ruobing, Li Xiaqing. Research on maximum power point tracking of wind power system based on AOA algorithm[J]. Green Technology, 2023, 25 (14): 266-270. Search in Google Scholar

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