Automatic Recognition of Facial Displays of Unfelt Emotions
暂无分享,去创建一个
Sergio Escalera | Xavier Baro | Gholamreza Anbarjafari | Ikechukwu Ofodile | Kaustubh Kulkarni | Ciprian Adrian Corneanu | Sylwia Hyniewska | Juri Allik | Xavier Baró | S. Hyniewska | Kaustubh Kulkarni | J. Allik | C. Corneanu | G. Anbarjafari | Sergio Escalera | Ikechukwu Ofodile
[1] Venu Govindaraju,et al. Real-time Automatic Deceit Detection from Involuntary Facial Expressions , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Limin Wang,et al. Action recognition with trajectory-pooled deep-convolutional descriptors , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] S. Porter,et al. The truth about lies: What works in detecting high‐stakes deception? , 2010 .
[4] Svetlana Lazebnik,et al. Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering , 2016, ECCV.
[5] Tamás D. Gedeon,et al. Emotion recognition using PHOG and LPQ features , 2011, Face and Gesture 2011.
[6] Y. Noguchi,et al. Hiding true emotions: micro-expressions in eyes retrospectively concealed by mouth movements , 2016, Scientific Reports.
[7] J. Gnepp,et al. Children's understanding of verbal and facial display rules. , 1986 .
[8] Aldert Vrij,et al. Who killed my relative? police officers' ability to detect real-life high-stake lies , 2001 .
[9] C. Darwin. The Expression of the Emotions in Man and Animals , .
[10] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[11] Honggang Zhang,et al. Deep Region and Multi-label Learning for Facial Action Unit Detection , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Lijun Yin,et al. Static and dynamic 3D facial expression recognition: A comprehensive survey , 2012, Image Vis. Comput..
[13] Nicu Sebe,et al. Multimodal Human Computer Interaction: A Survey , 2005, ICCV-HCI.
[14] Jeff T. Larsen,et al. Further evidence for mixed emotions. , 2011, Journal of personality and social psychology.
[15] Honggang Zhang,et al. Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition , 2016, IEEE Transactions on Image Processing.
[16] Sridha Sridharan,et al. Automatically Detecting Pain in Video Through Facial Action Units , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[17] P. Cole,et al. From children’s expressive control to emotion regulation: Looking back, looking ahead , 2018, The European journal of developmental psychology.
[18] Josée Chartrand,et al. [Judgement of Authenticity of Smiles and Detection of Facial indexes]. , 2005, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.
[19] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[20] Illah R. Nourbakhsh,et al. The role of expressiveness and attention in human-robot interaction , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).
[21] E. Naito,et al. Enhanced neural activity in response to dynamic facial expressions of emotion: an fMRI study. , 2004, Brain research. Cognitive brain research.
[22] J. D. de Fockert,et al. Rapid extraction of mean identity from sets of faces. , 2009, Quarterly journal of experimental psychology.
[23] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[24] Poruz Khambatta,et al. Physically scarce (vs. enriched) environments decrease the ability to tell lies successfully. , 2015, Journal of experimental psychology. General.
[25] Fernando De la Torre,et al. Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[26] Stephen Porter,et al. Discovering Deceit: Applying Laboratory and Field Research in the Search for Truthful and Deceptive Behavior , 2013 .
[27] P. Ekman,et al. The ability to detect deceit generalizes across different types of high-stake lies. , 1997, Journal of personality and social psychology.
[28] Shaun J. Canavan,et al. BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database , 2014, Image Vis. Comput..
[29] B. Depaulo,et al. Accuracy of Deception Judgments , 2006, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.
[30] Millicent H. Abel,et al. An empirical reflection on the smile , 2002 .
[31] Christopher G. Goetz. The Mechanism of Human Facial Expression (Studies in Emotion and Social Interaction) , 1991, Neurology.
[32] Guoying Zhao,et al. CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation , 2014, PloS one.
[33] Yang Gao,et al. Compact Bilinear Pooling , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Sergio Escalera,et al. Audio-Visual Emotion Recognition in Video Clips , 2019, IEEE Transactions on Affective Computing.
[35] J. Gross,et al. Emotion elicitation using films , 1995 .
[36] Xiaolan Fu,et al. CAS(ME)$^2$ : A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition , 2018, IEEE Transactions on Affective Computing.
[37] Takeo Kanade,et al. Recognizing Action Units for Facial Expression Analysis , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[38] Cordelia Schmid,et al. Action and Event Recognition with Fisher Vectors on a Compact Feature Set , 2013, 2013 IEEE International Conference on Computer Vision.
[39] M. Del Giudice,et al. Individual Differences in the Recognition of Enjoyment Smiles: No Role for Perceptual–Attentional Factors and Autistic-Like Traits , 2011, Front. Psychology.
[40] Takeo Kanade,et al. Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[41] A. Manstead,et al. Can Duchenne smiles be feigned? New evidence on felt and false smiles. , 2009, Emotion.
[42] Shiguang Shan,et al. AU-aware Deep Networks for facial expression recognition , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[43] R. Ready,et al. Judgment and classification of emotion terms by older and younger adults , 2017, Aging & mental health.
[44] Gaurav Sharma,et al. LOMo: Latent Ordinal Model for Facial Analysis in Videos , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Louis-Philippe Morency,et al. Temporal Attention-Gated Model for Robust Sequence Classification , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Albert Ali Salah,et al. Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[47] Peter W. McOwan,et al. A real-time automated system for the recognition of human facial expressions , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[48] Gholamreza Anbarjafari. Face recognition using color local binary pattern from mutually independent color channels , 2013, EURASIP J. Image Video Process..
[49] P. Ekman. Facial expression and emotion. , 1993, The American psychologist.
[50] Junmo Kim,et al. Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[51] P. Garner,et al. The relations of emotional role taking, affective/moral attributions, and emotional display rule knowledge to low-income school-age children's social competence , 1996 .
[52] Ying Chen,et al. Combining Multimodal Features with Hierarchical Classifier Fusion for Emotion Recognition in the Wild , 2014, ICMI.
[53] A. Young,et al. Configural information in facial expression perception. , 2000, Journal of experimental psychology. Human perception and performance.
[54] Gholamreza Anbarjafari,et al. Data Fusion Boosted Face Recognition Based on Probability Distribution Functions in Different Colour Channels , 2009, EURASIP J. Adv. Signal Process..
[55] Shaun J. Canavan,et al. BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database , 2014, Image Vis. Comput..
[56] I. Wilkinson,et al. Behavioural and functional anatomical correlates of deception in humans , 2001, Neuroreport.
[57] Annie Roy-Charland,et al. Analysis of eye movements in the judgment of enjoyment and non-enjoyment smiles , 2013, Front. Psychol..
[58] C. F. Bond,et al. Why do lie-catchers fail? A lens model meta-analysis of human lie judgments. , 2011, Psychological bulletin.
[59] E. Ross,et al. Decoding facial blends of emotion: Visual field, attentional and hemispheric biases , 2013, Brain and Cognition.
[60] Sergio Escalera,et al. Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[61] Sergio Escalera,et al. Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[62] Takeo Kanade,et al. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[63] W. Gaebel,et al. Facial expression and emotional face recognition in schizophrenia and depression , 2005, European Archives of Psychiatry and Clinical Neuroscience.
[64] Pascal Vincent,et al. Disentangling Factors of Variation for Facial Expression Recognition , 2012, ECCV.
[65] Nicu Sebe,et al. Authentic facial expression analysis , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..
[66] N. Abe. The neurobiology of deception: evidence from neuroimaging and loss-of-function studies , 2009, Current opinion in neurology.
[67] P. Gosselin,et al. The voluntary control of facial action units in adults. , 2010, Emotion.
[68] Richard Rogers,et al. Models of feigned mental illness. , 1990 .
[69] Martha Davis,et al. Judging the Credibility of Criminal Suspect Statements: Does Mode of Presentation Matter? , 2006 .
[70] Mohammad H. Mahoor,et al. DISFA: A Spontaneous Facial Action Intensity Database , 2013, IEEE Transactions on Affective Computing.
[71] Björn W. Schuller,et al. LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework , 2013, Image Vis. Comput..
[72] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[73] Yvette Yannick Mathieu. Annotation of Emotions and Feelings in Texts , 2005, ACII.
[74] Mark G. Frank,et al. Police Lie Detection Accuracy: The Effect of Lie Scenario , 2009, Law and human behavior.
[75] Gwen Littlewort,et al. Faces of pain: automated measurement of spontaneousallfacial expressions of genuine and posed pain , 2007, ICMI '07.
[76] Vennila Ramalingam,et al. Facial expression recognition - A real time approach , 2009, Expert Syst. Appl..
[77] Radoslaw Niewiadomski,et al. Intelligent Expressions of Emotions , 2005, ACII.
[78] A. Oyesoji Aremu,et al. A path model investigating the influence of some personal–psychological factors on the career aspirations of police trainees: a perspective from Oyo State, Nigeria , 2009 .
[79] S. Porter,et al. Secrets and Lies: Involuntary Leakage in Deceptive Facial Expressions as a Function of Emotional Intensity , 2011, Journal of Nonverbal Behavior.
[80] P. Ekman,et al. Smiles when lying. , 1988, Journal of personality and social psychology.
[81] David Haussler,et al. Exploiting Generative Models in Discriminative Classifiers , 1998, NIPS.
[82] L. Rubin. The Mechanism of Human Facial Expression , 1992 .
[83] Rachael E. Jack,et al. The Human Face as a Dynamic Tool for Social Communication , 2015, Current Biology.
[84] Nicu Sebe,et al. Learning Bayesian network classifiers for facial expression recognition both labeled and unlabeled data , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[85] Miriam Kunz,et al. Facial Pain Expression in Dementia: A Review of the Experimental and Clinical Evidence. , 2017, Current Alzheimer research.
[86] Josephine Sullivan,et al. One millisecond face alignment with an ensemble of regression trees , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[87] Gwen Littlewort,et al. The computer expression recognition toolbox (CERT) , 2011, Face and Gesture 2011.
[88] J. Garber,et al. Display rules for anger, sadness, and pain: it depends on who is watching. , 1996, Child development.
[89] Peter Kuppens,et al. Is valuing positive emotion associated with life satisfaction? , 2014, Emotion.
[90] M. B. Arnold. Feelings and emotions: The Loyola symposium. , 1970 .
[91] Richard E. Lucas,et al. Personality, culture, and subjective well-being: emotional and cognitive evaluations of life. , 2003, Annual review of psychology.
[92] S. Hyniewska,et al. Facial feedback affects valence judgments of dynamic and static emotional expressions , 2015, Front. Psychol..
[93] Shuicheng Yan,et al. Peak-Piloted Deep Network for Facial Expression Recognition , 2016, ECCV.
[94] K. M. Lee,et al. Can robots manifest personality? : An empirical test of personality recognition, social responses, and social presence in human-robot interaction , 2006 .
[95] Sarah-Jayne Blakemore,et al. Brief Report: Perception of Genuine and Posed Smiles by Individuals with Autism , 2008, Journal of autism and developmental disorders.
[96] Maja Pantic,et al. Dynamics of facial expression: recognition of facial actions and their temporal segments from face profile image sequences , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[97] Otto H. MacLin,et al. The Effect of Defendant Facial Expression on Mock Juror Decision-Making: The Power of Remorse , 2009 .
[98] Shiguang Shan,et al. Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild , 2014, ICMI.
[99] Thomas S. Huang,et al. Expression recognition from 3D dynamic faces using robust spatio-temporal shape features , 2011, Face and Gesture 2011.
[100] K. Scherer,et al. Introducing the Geneva Multimodal expression corpus for experimental research on emotion perception. , 2012, Emotion.
[101] P. Ekman,et al. Not all smiles are created equal: the differences between enjoyment and nonenjoyment smiles , 1993 .
[102] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[103] Thomas S. Huang,et al. Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition? , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[104] P. Ekman,et al. Unmasking the face : a guide to recognizing emotions from facial clues , 1975 .
[105] Sergio Escalera,et al. Dominant and Complementary Emotion Recognition From Still Images of Faces , 2018, IEEE Access.
[106] Shiguang Shan,et al. Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[107] Arman Savran,et al. Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities , 2015, IEEE Transactions on Cybernetics.
[108] Rama Chellappa,et al. FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[109] Séverine Dubuisson,et al. Dynamic facial expression recognition by joint static and multi-time gap transition classification , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[110] S. Porter,et al. Pitfalls and Opportunities in Nonverbal and Verbal Lie Detection , 2010, Psychological science in the public interest : a journal of the American Psychological Society.
[111] Shiguang Shan,et al. AU-inspired Deep Networks for Facial Expression Feature Learning , 2015, Neurocomputing.
[112] Ioannis Pitas,et al. Facial Expression Recognition in Image Sequences Using Geometric Deformation Features and Support Vector Machines , 2007, IEEE Transactions on Image Processing.
[113] Lynn Smith-Lovin,et al. Emotion Display as a Strategy for Identity Negotiation , 1999 .
[114] P. Ekman,et al. The Duchenne smile: emotional expression and brain physiology. II. , 1990, Journal of personality and social psychology.
[115] Sergio Escalera,et al. Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[116] Tal Hassner,et al. Effective face frontalization in unconstrained images , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[117] S Harter,et al. Children's reports of conflict between simultaneous opposite-valence emotions. , 1989, Child development.
[118] Qiang Ji,et al. Multi-instance Hidden Markov Model for facial expression recognition , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[119] Inchul Song,et al. Deep learning for real-time robust facial expression recognition on a smartphone , 2014, 2014 IEEE International Conference on Consumer Electronics (ICCE).
[120] A. Manstead,et al. Effects of Dynamic Aspects of Facial Expressions: A Review , 2013 .
[121] Andero Uusberg,et al. Unintentionality of affective attention across visual processing stages , 2013, Front. Psychol..
[122] Matti Pietikäinen,et al. Facial expression recognition from near-infrared videos , 2011, Image Vis. Comput..
[123] Susan Harter,et al. Children's reports of conflict between simultaneous opposite-valence emotions. , 1989, Child development.
[124] Ping Liu,et al. Facial Expression Recognition via a Boosted Deep Belief Network , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[125] Jun Tani,et al. Self-organization of distributedly represented multiple behavior schemata in a mirror system: reviews of robot experiments using RNNPB , 2004, Neural Networks.
[126] K. Scherer,et al. Reliable facial muscle activation enhances recognizability and credibility of emotional expression. , 2012, Emotion.
[127] Maja Pantic,et al. A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[128] Judith A. Hall,et al. The Deliberate Duchenne Smile: Individual Differences in Expressive Control , 2013 .
[129] Chris Moore,et al. Smile asymmetries and reputation as reliable indicators of likelihood to cooperate: An evolutionary analysis , 2002 .