Machine Analysis of Facial Expressions

1. Human Face and Its Expression The human face is the site for major sensory inputs and major communicative outputs. It houses the majority of our sensory apparatus as well as our speech production apparatus. It is used to identify other members of our species, to gather information about age, gender, attractiveness, and personality, and to regulate conversation by gazing or nodding. Moreover, the human face is our preeminent means of communicating and understanding somebody’s affective state and intentions on the basis of the shown facial expression (Keltner & Ekman, 2000). Thus, the human face is a multi-signal input-output communicative system capable of tremendous flexibility and specificity (Ekman & Friesen, 1975). In general, the human face conveys information via four kinds of signals. (a) Static facial signals represent relatively permanent features of the face, such as the bony structure, the soft tissue, and the overall proportions of the face. These signals contribute to an individual’s appearance and are usually exploited for person identification.

[1]  C. Darwin The Expression of the Emotions in Man and Animals , .

[2]  L B Jongkees,et al.  Surgery of the Facial Nerve , 1968, The Journal of Laryngology & Otology.

[3]  P. Huttenlocher Neurological Anatomy in Relation to Clinical Medicine , 1970, The Yale Journal of Biology and Medicine.

[4]  Ugo Fisch,et al.  Surgery of the facial nerve , 1973 .

[5]  P. Ekman Unmasking The Face , 1975 .

[6]  P. Ekman,et al.  Facial Action Coding System: Manual , 1978 .

[7]  J. N. Bassili Facial motion in the perception of faces and of emotional expression. , 1978, Journal of experimental psychology. Human perception and performance.

[8]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[9]  P. Ekman,et al.  Handbook of methods in nonverbal behavior research , 1982 .

[10]  W. Rinn,et al.  The neuropsychology of facial expression: a review of the neurological and psychological mechanisms for producing facial expressions. , 1984, Psychological bulletin.

[11]  John Daugman,et al.  Neural networks for image transformation, analysis, and compression , 1988, Neural Networks.

[12]  P. Ekman The argument and evidence about universals in facial expressions of emotion. , 1989 .

[13]  K. Craig,et al.  Genuine, suppressed and faked facial behavior during exacerbation of chronic low back pain , 1991, Pain.

[14]  Kenji Mase,et al.  Recognition of Facial Expression from Optical Flow , 1991 .

[15]  Ashok Samal,et al.  Automatic recognition and analysis of human faces and facial expressions: a survey , 1992, Pattern Recognit..

[16]  M. Sayette,et al.  The effect of alcohol on emotional response to a social stressor. , 1992, Journal of studies on alcohol.

[17]  L. Rubin The Mechanism of Human Facial Expression , 1992 .

[18]  N. Ambady,et al.  Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis. , 1992 .

[19]  Joachim M. Buhmann,et al.  Distortion Invariant Object Recognition in the Dynamic Link Architecture , 1993, IEEE Trans. Computers.

[20]  Glyn W. Humphreys,et al.  Expression is computed separately from facial identity, and it is computed separately for moving and static faces: Neuropsychological evidence , 1993, Neuropsychologia.

[21]  Carlo Tomasi,et al.  Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[22]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Marian Stewart Bartlett,et al.  Classifying Facial Action , 1995, NIPS.

[24]  D. Keltner Signs of appeasement: evidence for the distinct displays of embarrassment, amusement, and shame , 1995 .

[25]  K. Craig,et al.  Subjective judgments of deception in pain expression: accuracy and errors , 1996, Pain.

[26]  Dimitris N. Metaxas,et al.  The integration of optical flow and deformable models with applications to human face shape and motion estimation , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[27]  Rosalind W. Picard Affective Computing , 1997 .

[28]  Alex Pentland,et al.  Coding, Analysis, Interpretation, and Recognition of Facial Expressions , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Alex Pentland,et al.  Probabilistic Visual Learning for Object Representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  U. Hess,et al.  The Intensity of Emotional Facial Expressions and Decoding Accuracy , 1997 .

[31]  M. Yachida,et al.  Facial expression recognition and its degree estimation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[32]  Tomaso A. Poggio,et al.  Example-Based Learning for View-Based Human Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[33]  Timothy F. Cootes,et al.  Face Recognition Using Active Appearance Models , 1998, ECCV.

[34]  Takeo Kanade,et al.  Neural Network-Based Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[35]  Yaser Yacoob,et al.  Computer Vision for Human–Machine Interaction: Looking at People in Action – An Overview , 1998 .

[36]  Thomas S. Huang,et al.  Connected vibrations: a modal analysis approach for non-rigid motion tracking , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[37]  A. Young,et al.  Face and Mind , 1998 .

[38]  Takeo Kanade,et al.  Subtly different facial expression recognition and expression intensity estimation , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[39]  Zhengyou Zhang,et al.  Comparison between geometry-based and Gabor-wavelets-based facial expression recognition using multi-layer perceptron , 1998, Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition.

[40]  T. Sejnowski,et al.  Measuring facial expressions by computer image analysis. , 1999, Psychophysiology.

[41]  Michael J. Lyons,et al.  Automatic Classification of Single Facial Images , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[42]  M. Pitt,et al.  Filtering via Simulation: Auxiliary Particle Filters , 1999 .

[43]  Patrick Brézillon,et al.  Lecture Notes in Artificial Intelligence , 1999 .

[44]  Marian Stewart Bartlett,et al.  Classifying Facial Actions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[45]  Maja Pantic,et al.  Automatic Analysis of Facial Expressions: The State of the Art , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[46]  Y. Freund,et al.  Discussion of the Paper \additive Logistic Regression: a Statistical View of Boosting" By , 2000 .

[47]  Takeo Kanade,et al.  A statistical method for 3D object detection applied to faces and cars , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[48]  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).

[49]  Takeo Kanade,et al.  Recognizing Action Units for Facial Expression Analysis , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[50]  Marco Costa,et al.  Social Presence, Embarrassment, and Nonverbal Behavior , 2001 .

[51]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[52]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[53]  Amanda C.C. Williams,et al.  Facial expression of pain: An evolutionary account , 2002, Behavioral and Brain Sciences.

[54]  Bernd Girod,et al.  Model-based face tracking for view-independent facial expression recognition , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.

[55]  Nicu Sebe,et al.  Facial expression recognition from video sequences , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[56]  Gwen Littlewort,et al.  A Prototype for Automatic Recognition of Spontaneous Facial Actions , 2002, NIPS.

[57]  E. Holden,et al.  Automatic Facial Point Detection , 2002 .

[58]  Narendra Ahuja,et al.  Detecting Faces in Images: A Survey , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[59]  L. Rothkrantz,et al.  Toward an affect-sensitive multimodal human-computer interaction , 2003, Proc. IEEE.

[60]  Nicu Sebe,et al.  Facial expression recognition from video sequences: temporal and static modeling , 2003, Comput. Vis. Image Underst..

[61]  Azriel Rosenfeld,et al.  Face recognition: A literature survey , 2003, CSUR.

[62]  Yuan Qi,et al.  Fully automatic upper facial action recognition , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[63]  Aleix M. Martinez Matching expression variant faces , 2003, Vision Research.

[64]  Gwen Littlewort,et al.  Real Time Face Detection and Facial Expression Recognition: Development and Applications to Human Computer Interaction. , 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

[65]  Jing Xiao,et al.  Robust full‐motion recovery of head by dynamic templates and re‐registration techniques , 2003 .

[66]  P. Ekman Darwin, Deception, and Facial Expression , 2003, Annals of the New York Academy of Sciences.

[67]  Jennifer S. Beer,et al.  Facial expression of emotion. , 2003 .

[68]  A. O'Toole,et al.  Psychological and neural perspectives on the role of motion in face recognition. , 2003, Behavioral and cognitive neuroscience reviews.

[69]  Takeo Kanade,et al.  Real-time combined 2D+3D active appearance models , 2004, CVPR 2004.

[70]  Qiang Ji,et al.  Information extraction from image sequences of real-world facial expressions , 2005, Machine Vision and Applications.

[71]  Rogério Schmidt Feris,et al.  Manifold Based Analysis of Facial Expression , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[72]  Maja Pantic,et al.  Particle filtering with factorized likelihoods for tracking facial features , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[73]  Kevin Bowyer,et al.  Face recognition technology and the security versus privacy tradeo , 2004 .

[74]  Simon Haykin,et al.  Special Issue on Sequential State Estimation , 2004, Proc. IEEE.

[75]  Jeffrey F. Cohn,et al.  The Timing of Facial Motion in posed and Spontaneous Smiles , 2003, Int. J. Wavelets Multiresolution Inf. Process..

[76]  Michael J. Black,et al.  Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion , 1997, International Journal of Computer Vision.

[77]  Michael Isard,et al.  CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.

[78]  Daniel Gatica-Perez,et al.  Latent semantic analysis of facial action codes for automatic facial expression recognition , 2004, MIR '04.

[79]  Qiang Ji,et al.  Multi-view face detection under complex scene based on combined SVMs , 2004, ICPR 2004.

[80]  Peter Robinson,et al.  Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[81]  P. Ekman,et al.  Appearing truthful generalizes across different deception situations. , 2004, Journal of personality and social psychology.

[82]  Mohan M. Trivedi,et al.  Robust real-time detection, tracking, and pose estimation of faces in video streams , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[83]  Lei Zhang,et al.  3D shape constraint for facial feature localization using probabilistic-like output , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[84]  Maja Pantic,et al.  Facial action recognition for facial expression analysis from static face images , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[85]  Maja Pantic,et al.  Motion history for facial action detection in video , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[86]  Maja Pantic,et al.  Case-based reasoning for user-profiled recognition of emotions from face images , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[87]  Jing Xiao,et al.  Automatic analysis and recognition of brow actions and head motion in spontaneous facial behavior , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[88]  Gwen Littlewort,et al.  Dynamics of Facial Expression Extracted Automatically from Video , 2004, CVPR Workshops.

[89]  Qiang Ji,et al.  An automated face reader for fatigue detection , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[90]  Yueting Zhuang,et al.  A two-step approach to multiple facial feature tracking: temporal particle filter and spatial belief propagation , 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

[91]  Harriet J. Nock,et al.  Multimodal processing by finding common cause , 2004, CACM.

[92]  Gwen Littlewort,et al.  Machine learning methods for fully automatic recognition of facial expressions and facial actions , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[93]  Nicu Sebe,et al.  Affective multimodal human-computer interaction , 2005, ACM Multimedia.

[94]  Gwen Littlewort,et al.  Recognizing facial expression: machine learning and application to spontaneous behavior , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[95]  Maja Pantic,et al.  Web-based database for facial expression analysis , 2005, 2005 IEEE International Conference on Multimedia and Expo.

[96]  David J. Fleet,et al.  Performance of optical flow techniques , 1994, International Journal of Computer Vision.

[97]  Maja Pantic,et al.  Fully automatic facial feature point detection using Gabor feature based boosted classifiers , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[98]  Heinrich H. Bülthoff,et al.  Manipulating Video Sequences to Determine the Components of Conversational Facial Expressions , 2005, TAP.

[99]  Ian R. Fasel,et al.  A generative framework for real time object detection and classification , 2005, Comput. Vis. Image Underst..

[100]  M. Heller,et al.  Depression and Suicide Faces , 2005 .

[101]  Takeo Kanade,et al.  Facial Expression Analysis , 2011, AMFG.

[102]  Maja Pantic,et al.  Detecting facial actions and their temporal segments in nearly frontal-view face image sequences , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[103]  Guodong Guo,et al.  Learning from examples in the small sample case: face expression recognition , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[104]  David W. Jacobs,et al.  On the equivalence of common approaches to lighting insensitive recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[105]  J. Cohn,et al.  Deciphering the Enigmatic Face , 2005, Psychological science.

[106]  Qiang Ji,et al.  Active and dynamic information fusion for facial expression understanding from image sequences , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[107]  Maja Pantic,et al.  Tracking deformable motion , 2005, 2005 IEEE International Conference on Systems, Man and Cybernetics.

[108]  P. Ekman,et al.  What the face reveals : basic and applied studies of spontaneous expression using the facial action coding system (FACS) , 2005 .

[109]  Alice J. O'Toole,et al.  A video database of moving faces and people , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[110]  A. A. El-Harby,et al.  Face Recognition: A Literature Review , 2008 .

[111]  Ian R. Fasel,et al.  Learning real-time object detectors : probabilistic generative approaches , 2006 .

[112]  Maja Pantic,et al.  Biologically vs. Logic Inspired Encoding of Facial Actions and Emotions in Video , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[113]  Maja Pantic,et al.  Face for Ambient Interface , 2006, Ambient Intelligence in Everyday.

[114]  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).

[115]  Ralph Gross,et al.  Active appearance models with occlusion , 2006, Image Vis. Comput..

[116]  Elizabeth Torres,et al.  Space-time separation during obstacle-avoidance learning in monkeys. , 2006, Journal of neurophysiology.

[117]  Jacob Whitehill,et al.  Haar features for FACS AU recognition , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[118]  Gwen Littlewort,et al.  Fully Automatic Facial Action Recognition in Spontaneous Behavior , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[119]  Alex Pentland,et al.  Human computing and machine understanding of human behavior: a survey , 2006, ICMI '06.

[120]  Maja Pantic,et al.  Spontaneous vs. posed facial behavior: automatic analysis of brow actions , 2006, ICMI '06.

[121]  Qiang Ji,et al.  Inferring Facial Action Units with Causal Relations , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[122]  Jeffrey F. Cohn,et al.  Foundations of human computing: facial expression and emotion , 2006, ICMI '06.

[123]  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).

[124]  Jun Wang,et al.  A 3D facial expression database for facial behavior research , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[125]  Maja Pantic,et al.  Gaze-X: adaptive affective multimodal interface for single-user office scenarios , 2006, ICMI '06.

[126]  Maja Pantic,et al.  Fully Automatic Facial Action Unit Detection and Temporal Analysis , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[127]  Fiona Stewart Perspectives on the Face , 2007, The Ulster Medical Journal.

[128]  Gwen Littlewort,et al.  Faces of pain: automated measurement of spontaneousallfacial expressions of genuine and posed pain , 2007, ICMI '07.

[129]  Léon J. M. Rothkrantz,et al.  Automation of Non-Verbal Communication of Facial Expressions , 1998, EUROMEDIA.

[130]  J. Cohn,et al.  Measuring Facial Action , 2008 .