• Laser & Optoelectronics Progress
  • Vol. 57, Issue 14, 141504 (2020)
Yuting Su, Mengmeng Wang, Jing Liu*, Yunpeng Fei, and Xu He
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072 China
  • show less
    DOI: 10.3788/LOP57.141504 Cite this Article Set citation alerts
    Yuting Su, Mengmeng Wang, Jing Liu, Yunpeng Fei, Xu He. Micro-Expression Recognition Algorithm Based on Multiple Motive Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141504 Copy Citation Text show less
    References

    [1] 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).

    [2] Xu F, Zhang J P. Facial microexpression recognition: a survey[J]. Acta Automatica Sinica, 43, 333-348(2017).

    [3] Ekman P. Darwin, deception, and facial expression[J]. Annals of the New York Academy of Sciences, 1000, 205-221(2006).

    [4] Pan T, Li W G. Person re-identification based on feature stitching[J]. Laser & Optoelectronics Progress, 56, 162001(2019).

    [5] 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).

    [6] Pfister T, Li X B, Zhao G Y et al. Recognising spontaneous facial micro-expressions. [C]∥2011 International Conference on Computer Vision, November 6-13, 2011, Barcelona, Spain. New York: IEEE, 1449-1456(2011).

    [7] Wang Y D, See J. Phan Raphael C W, et al. LBP with six intersection points: reducing redundant information in LBP-TOP for micro-expression recognition[M]. ∥Cremers D, Reid I, Saito H, et al. Computer vision - ACCV 2014. Cham: Springer, 525-537(2015).

    [8] Liong S T, See J. Phan Raphael C W, et al. Subtle expression recognition using optical strain weighted features[M]. ∥Jawahar C V, Shan S G. Computer vision - ACCV 2014 workshops. Cham: Springer, 644-657(2015).

    [9] Liong S T. Phan Raphael C W, See J, et al. Optical strain based recognition of subtle emotions. [C]∥2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), December 1-4, 2014, Kuching, Sarawak, Malaysia. New York: IEEE, 180-184(2014).

    [10] Liu Y J, Zhang J K, Yan W J et al. A main directional mean optical flow feature for spontaneous micro-expression recognition[J]. IEEE Transactions on Affective Computing, 7, 299-310(2016).

    [11] Happy S L, Routray A. Fuzzy histogram of optical flow orientations for micro-expression recognition[J]. IEEE Transactions on Affective Computing, 10, 394-406(2019).

    [12] Patel D, Hong X P, Zhao G Y. Selective deep features for micro-expression recognition. [C]∥2016 23rd International Conference on Pattern Recognition (ICPR), December 4-8, 2016, Cancun, Mexico. New York: IEEE, 2258-2263(2016).

    [13] Kim D H, Baddar W J, Ro Y M. Micro-expression recognition with expression-state constrained spatio-temporal feature representations. [C]∥Proceedings of the 2016 ACM on Multimedia Conference, October 1-19, 2016, Amsterdam, The Netherlands. New York: ACM, 382-386(2016).

    [14] Mayya V, Pai R M. Pai M M M. Combining temporal interpolation and DCNN for faster recognition of micro-expressions in video sequences. [C]∥2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), September 21-24, 2016, Jaipur, India. New York: IEEE, 699-703(2016).

    [15] Khor H Q, See J. Phan R C W, et al. Enriched long-term recurrent convolutional network for facial micro-expression recognition. [C]∥2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), May 15-19, 2018, Xi'an, China. New York: IEEE, 667-674(2018).

    [16] Zhou L, Mao Q R, Xue L Y. Dual-inception network for cross-database micro-expression recognition. [C]∥2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), May 14-18, 2019, Lille, France. New York: IEEE, 1-5(2019).

    [17] Khor H Q, See J, Liong S T et al. Dual-stream shallow networks for facial micro-expression recognition. [C]∥2019 IEEE International Conference on Image Processing (ICIP), September 22-25, 2019, Taipei, Taiwan, China. New York: IEEE, 36-40(2019).

    [18] Yan W J, Li X B, Wang S J et al. CASME II: an improved spontaneous micro-expression database and the baseline evaluation[J]. PLoS One, 9, e86041(2014).

    [19] Li X B, Hong X P, Moilanen A et al. Towards reading hidden emotions: a comparative study of spontaneous micro-expression spotting and recognition methods[J]. IEEE Transactions on Affective Computing, 9, 563-577(2018).

    [20] Cootes T F, Edwards G J, Taylor C J. Active appearance models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23, 681-685(2001).

    [21] Choi D Y, Kim D H, Song B C. Recognizing fine facial micro-expressions using two-dimensional landmark feature. [C]∥2018 25th IEEE International Conference on Image Processing (ICIP), October 7-10, 2018, Athens. New York: IEEE, 1962-1966(2018).

    [22] 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. New York: IEEE, 2983-2991(2015).

    [23] Zhang K H, Huang Y Z, Du Y et al. Facial expression recognition based on deep evolutional spatial-temporal networks[J]. IEEE Transactions on Image Processing, 26, 4193-4203(2017).

    [24] Zach C, Pock T, Bischof H. A duality based approach for realtime TV-L1 optical flow[M]. ∥Hamprecht F A, Schnörr C, Jähne B. Pattern recognition. Heidelberg: Springer, 214-223(2007).

    [25] Shreve M, Godavarthy S, Goldgof D et al. Macro- and micro-expression spotting in long videos using spatio-temporal strain. [C]∥Face and Gesture 2011, March 21-25, 2011, Santa Barbara, CA, USA. New York: IEEE, 51-56(2011).

    [26] Xu F, Zhang J P, Wang J Z. Microexpression identification and categorization using a facial dynamics map[J]. IEEE Transactions on Affective Computing, 8, 254-267(2017).

    [27] Oh Y H. Le Ngo A C, See J, et al. Monogenic riesz wavelet representation for micro-expression recognition. [C]∥2015 IEEE International Conference on Digital Signal Processing (DSP), July 21-24, 2015, Singapore. New York: IEEE, 1237-1241(2015).

    [28] Huang X H, Zhao G Y, Hong X P et al. Spontaneous facial micro-expression analysis using spatiotemporal completed local quantized patterns[J]. Neurocomputing, 175, 564-578(2016).

    [29] Liong S T, See J, Wong K S et al. Less is more: micro-expression recognition from video using apex frame[J]. Signal Processing: Image Communication, 62, 82-92(2018).

    Yuting Su, Mengmeng Wang, Jing Liu, Yunpeng Fei, Xu He. Micro-Expression Recognition Algorithm Based on Multiple Motive Feature Fusion[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141504
    Download Citation