Facial Expression Classification Based on Ensemble Convolutional Neural Network

Tao Zhou; Xiaoqi Lü; Guoyin Ren; Yu Gu; Ming Zhang; Jing Li

doi:10.3788/LOP57.141501

[1] Mehrabian A. Communication without words[J]. Psychological Today, 2, 53-55(1968).

[2] Ekman P, Friesen W V. Constants across cultures in the face and emotion[J]. Journal of Personality and Social Psychology, 17, 124-129(1971).

[3] Wang L L, Liu J H, Fu X M. Facial expression recognition based on fusion of local features and deep belief network[J]. Laser & Optoelectronics Progress, 55, 011002(2018).

[4] Chollet F. Xception: deep learning with depthwise separable convolutions. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017. Honolulu, HI. IEEE, 1251-1258(2017).

[5] Gu Y, Lu X Q, Yang L D et al. Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs[J]. Computers in Biology and Medicine, 103, 220-231(2018).

[6] Lecun Y, Boser B, Denker J S et al. Handwritten digit recognition with a back-propagation network[J]. Advances in Neural Information Processing Systems, 2, 396-404(1997).

[7] Wu H H, Su H S, Liu G H et al. Facial expression recognition algorithm based on cosine distance loss function[J]. Laser & Optoelectronics Progress, 56, 241502(2019).

[8] Lopes A T, de Aguiar E, de Souza A F et al. Facial expression recognition with convolutional neural networks: coping with few data and the training sample order[J]. Pattern Recognition, 61, 610-628(2017).

[9] Jung H, Lee S, Yim J et al. Joint fine-tuning in deep neural networks for facial expression recognition. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015. Santiago, Chile. IEEE, 2983-2991(2015).

[10] Chu J H, Tang W H, Zhang S et al. A facial expression recognition algorithm based on attention model[J]. Laser & Optoelectronics Progress, 57, 121015(2020).

[11] Lu G M, He J L, Yan J J et al. Convolutional neural network for facial expression recognition[J]. Journal of Nanjing University of Posts and Telecommunications(Natural Science Edition), 36, 16-22(2016).

[12] Li Y, Lin X Z, Jiang M Y. Facial expression recognition withcross-connect LeNet-5 network[J]. Acta Automatica Sinica, 44, 176-182(2018).

[13] Xie S Y, Hu H F. Facial expression recognition with FRR-CNN[J]. Electronics Letters, 53, 235-237(2017).

[14] He Z C, Zhao L Z, Chen C. Convolution neural network with multi-resolution feature fusion for facial expression recognition[J]. Laser & Optoelectronics Progress, 55, 071503(2018).

[15] Yao L S, Xu G M, Zhap F. Facial expression recognition based on local feature fusion of convolutional neural network[J]. Laser & Optoelectronics Progress, 57, 041513(2020).

[16] Xu L L, Zhang S M, Zhao J L. Expression recognition algorithm for parallel convolutional neural networks[J]. Journal of Image and Graphics, 24, 227-236(2019).

[18] Lin M, Chen Q. -03-04)[2019-10-08]. https:∥arxiv., org/abs/1312, 4400(2014).

[19] Wei X S, Xie C W, Wu J X et al. Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization[J]. Pattern Recognition, 76, 704-714(2018).

[20] Lucey P, Cohn J F, Kanade T et al. The Extended Cohn-Kanade Dataset (CK+): a complete dataset for action unit and emotion-specified expression. [C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops, June 13-18, 2010. San Francisco, CA, USA. IEEE, 94-101(2010).

[21] Goodfellow I J, Erhan D, Luc Carrier P et al. Challenges in representation learning: a report on three machine learning contests[J]. Neural Networks, 64, 59-63(2015).

[22] Gu Y, Lu X Q, Zhang B H et al. Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography[J]. PLoS One, 14, e0210551(2019).

[23] Breuer R. -05-10)[2019-10-08]. https:∥arxiv., org/abs/1705, 01842(2017).

[24] Weier W, Yang C, Yang L. Facial expression recognition using convolutional neural network[R]. Stanford University Reports, 1-6(2016).

[25] Arriaga O, Valdenegro-Toro M, gender classification[EB/OL]. -10-20)[2019-10-08]. https:∥arxiv., org/abs/1710, 07557(2017).

[26] Agrawal A, Mittal N. Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy[J]. The Visual Computer, 36, 405-412(2020).