Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 370-377.doi: 10.11896/jsjkx.210500023
• Image Processing & Multimedia Technology • Previous Articles Next Articles
ZHANG Jia-hao1, LIU Feng2,3,4, QI Jia-yin4
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[1] EKMAN P,FRIESEN W V.Nonverbal leakage and clues to deception[J].Psychiatry,1969,32(1):88-106. [2] O'SULLIVAN M,FRANK M G,HURLEY C M,et al.Policelie detection accuracy:The effect of lie scenario[J].Law and Human Behavior,2009,33(6):530. [3] SEIDENSTAT P,SPLANE F X.Protecting airline passengers in the age of terrorism[M].ABC-CLIO,2009. [4] YAN W J,WANG S J,LIU Y J,et al.For micro-expression re-cognition:Database and suggestions[J].Neurocomputing,2014,136:82-87. [5] ZHANG M,FU Q,CHEN Y H,et al.Emotional context influences micro-expression recognition[J].PloS One,2014,9(4):e95018. [6] 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,2018,62:82-92. [7] MERGHANI W,DAVISON A K,YAP M H.A review on facial micro-expressions analysis:datasets,features and metrics[J].arXiv:1805.02397,2018. [8] POLIKOVSKY S,KAMEDA Y,OHTA Y.Facial micro-expressions recognition using high speed camera and 3D-gradient descriptor[C]//3rd International Conference on Imaging for Crime Detection and Prevention(ICDP 2009).IET,2009:1-6. [9] ESSA I A,PENTLAND A P.Coding,analysis,interpretation,and recognition of facial expressions[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,1997,19(7):757-763. [10] YAP M H,SEE J,HONG X,et al.Facial micro-expressionsgrand challenge 2018 summary[C]//2018 13th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2018).IEEE,2018:675-678. [11] SEE J,YAP M H,LI J,et al.Megc 2019-the second facial micro-expressions grand challenge[C]//2019 14th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2019).IEEE,2019:1-5. [12] LI J,WANG S J,YAP M H,et al.MEGC2020-The Third Facial Micro-Expression Grand Challenge[C]//2020 15th IEEE International Conference on Automatic Face and Gesture Recognition(FG 2020)(FG).IEEE Computer Society,2020:234-237. [13] HUANG X,ZHAO G,HONG X,et al.Spontaneous facial micro-expression analysis using spatiotemporal completed local quantized patterns[J].Neurocomputing,2016,175:564-578. [14] LO L,XIE H X,SHUAI H H,et al.MER-GCN:Micro-Expression Recognition Based on Relation Modeling with Graph Con-volutional Networks[C]//2020 IEEE Conference on Multimedia Information Processing and Retrieval(MIPR).IEEE,2020:79-84. [15] YAN W J,WU Q,LIU Y J,et al.CASME database:a dataset of spontaneous micro-expressions collected from neutralized faces[C]//2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition(FG).IEEE,2013:1-7. [16] YAN W J,LI X,WANG S J,et al.CASME II:An improvedspontaneous micro-expression database and the baseline evaluation[J].PloS One,2014,9(1). [17] QU F,WANG S J,YAN W J,et al.CAS(ME):A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition[J].IEEE Transactions on Affective Computing,2017,9(4):424-436. [18] DAVISON A K,LANSLEY C,COSTEN N,et al.Samm:Aspontaneous micro-facial movement dataset[J].IEEE Transactions on Affective Computing,2016,9(1):116-129. [19] LI X,PFISTER T,HUANG X,et al.A spontaneous micro-expression database:Inducement,collection and baseline[C]//2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition(FG).IEEE,2013:1-6. [20] COOTES T F,TAYLOR C J,COOPER D H,et al.Active shape models-their training and application[J].Computer Vision and Image Understanding,1995,61(1):38-59. [21] KASINSKI A,SCHMIDT A.The architecture and performance of the face and eyes detection system based on the Haar cascade classifiers[J].Pattern Analysis and Applications,2010,13(2):197-211. [22] PENG M,WU Z,ZHANG Z,et al.From macro to micro expression recognition:Deep learning on small datasets using transfer learning[C]//2018 13th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2018).IEEE,2018:657-661. [23] MERGHANI W,DAVISON A,YAP M.Facial Micro-expres-sions Grand Challenge 2018:evaluating spatio-temporal features for classification of objective classes[C]//2018 13th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2018).IEEE,2018:662-666. [24] 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).IEEE,2018:667-674. [25] LIU Y,DU H,ZHENG L,et al.A neural micro-expressionrecognizer[C]//2019 14th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2019).IEEE,2019:1-4. [26] GAN Y S,LIONG S T,YAU W C,et al.Off-apexnet on micro-expression recognition system[J].Signal Processing:Image Communication,2019,74:129-139. [27] ZHOU L,MAO Q,XUE L.Dual-inception network for cross-database micro-expression recognition[C]//2019 14th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2019).IEEE,2019:1-5. [28] LIONG S T,GAN Y S,SEE J,et al.Shallow triple stream three-dimensional cnn(ststnet) for micro-expression recognition[C]//2019 14th IEEE International Conference on Automatic Face & Gesture Recognition(FG 2019).IEEE,2019:1-5. [29] HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.2016:770-778. [30] WANG C,PENG M,BI T,et al.Micro-attention for micro-expression recognition[J].Neurocomputing,2020,410:354-362. [31] VASWANI A,SHAZEER N,PARMAR N,et al.Attention isall you need[J].arXiv:1706.03762,2017. [32] DEVLIN J,CHANG M W,LEE K,et al.Bert:Pre-training of deep bidirectional transformers for language understanding[J].arXiv:1810.04805,2018. [33] DOSOVITSKIY A,BEYER L,KOLESNIKOV A,et al.Animage is worth 16x16 words:Transformers for image recognition at scale[J].arXiv:2010.11929,2020. [34] CHEN M,RADFORD A,CHILD R,et al.Generative pretrai-ning from pixels[C]//International Conference on Machine Learning.PMLR,2020:1691-1703. [35] SRINIVAS A,LIN T Y,PARMAR N,et al.Bottleneck transformers for visual recognition[J].arXiv:2101.11605,2021. [36] LIU Z,LIN Y,CAO Y,et al.Swin transformer:Hierarchical vision transformer using shifted windows[J].arXiv:2103.14030,2021. [37] Electronic spatial sensing for the blind:contributions from perception,rehabilitation,and computer vision[M].Berlin:Springer,Springer Science & Business Media,2013. [38] PÉREZ J S,MEINHARDT-LLOPIS E,FACCIOLO G.TV-L1 optical flow estimation[J].Image Processing on Line,2013,2013:137-150. |
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