21.3.6.2.2 Personality, Traits, Mood, Diagnosis Analysis

Chapter Contents (Back)
Application, Faces. Mood. Personality. See also Emotion Recognition from Face Images. See also Face Analysis -- Attractiveness, Beauty, Subjective Analysis.

Arellano, D.[Diana], Perales, F.J.[Francisco J.], Varona, J.[Javier],
Mood and Its Mapping onto Facial Expressions,
AMDO14(31-40).
Springer DOI 1407
BibRef

Cerezo, E.[Eva], Hupont, I.[Isabelle], Manresa-Yee, C.[Cristina], Varona, J.[Javier], Baldassarri, S.[Sandra], Perales, F.J.[Francisco J.], Seron, F.J.[Francisco J.],
Real-Time Facial Expression Recognition for Natural Interaction,
IbPRIA07(II: 40-47).
Springer DOI 0706
BibRef

Benini, S.[Sergio], Canini, L.[Luca], Leonardi, R.[Riccardo],
A Connotative Space for Supporting Movie Affective Recommendation,
MultMed(13), No. 6, 2011, pp. 1356-1370.
IEEE DOI 1112
See also Hierarchical structuring of video previews by Leading-Cluster-Analysis. BibRef

Canini, L.[Luca], Benini, S.[Sergio], Leonardi, R.[Riccardo],
Affective Recommendation of Movies Based on Selected Connotative Features,
CirSysVideo(23), No. 4, April 2013, pp. 636-647.
IEEE DOI 1304
BibRef

Canini, L.[Luca], Benini, S.[Sergio], Migliorati, P.[Pierangelo], Leonardi, R.[Riccardo],
Emotional identity of movies,
ICIP09(1821-1824).
IEEE DOI 0911
BibRef

Sakr, G.E., Elhajj, I.H., Huijer, H.A.S.,
Support Vector Machines to Define and Detect Agitation Transition,
AffCom(1), No. 2, July-December 2010, pp. 98-108.
IEEE DOI 1202
BibRef

Fleureau, J.[Julien], Guillotel, P.[Philippe], Huynh-Thu, Q.[Quan],
Physiological-Based Affect Event Detector for Entertainment Video Applications,
AffCom(3), No. 3, 2012, pp. 379-385.
IEEE DOI 1210
BibRef

Nguyen, L.S., Frauendorfer, D., Mast, M.S., Gatica-Perez, D.,
Hire me: Computational Inference of Hirability in Employment Interviews Based on Nonverbal Behavior,
MultMed(16), No. 4, June 2014, pp. 1018-1031.
IEEE DOI 1407
Employment BibRef

Zhang, Y.[Yi], Li, L.[Ling],
A Personality Model Based on NEO PI-R for Emotion Simulation,
IEICE(E97-D), No. 8, August 2014, pp. 2000-2007.
WWW Link. 1408
BibRef

Scherer, S.[Stefan], Stratou, G.[Giota], Lucas, G.[Gale], Mahmoud, M.[Marwa], Boberg, J.[Jill], Gratch, J.[Jonathan], Rizzo, A.S.[Albert Skip], Morency, L.P.[Louis-Philippe],
Automatic audiovisual behavior descriptors for psychological disorder analysis,
IVC(32), No. 10, 2014, pp. 648-658.
Elsevier DOI 1410
BibRef
Earlier: A1, A2, A4, A5, A6, A7, A8, Only:
Automatic behavior descriptors for psychological disorder analysis,
FG13(1-8)
IEEE DOI 1309
Award, FG, Best Paper. emotion recognition. Psychological distress BibRef

Gratch, J., Cheng, L.[Lin], Marsella, S., Boberg, J.[Jill],
Felt emotion and social context determine the intensity of smiles in a competitive video game,
FG13(1-8)
IEEE DOI 1309
computer games BibRef

Lam, K.Y.[Kam-Yiu], Wang, J.T.[Jian-Tao], Ng, J.K.Y., Han, S.[Song], Zheng, L.M.[Li-Mei], Kam, C.H.C., Zhu, C.J.[Chun Jiang],
SmartMood: Toward Pervasive Mood Tracking and Analysis for Manic Episode Detection,
HMS(45), No. 1, February 2015, pp. 126-131.
IEEE DOI 1502
biomedical telemetry BibRef

Katsimerou, C., Heynderickx, I., Redi, J.A.,
Predicting Mood from Punctual Emotion Annotations on Videos,
AffCom(6), No. 2, April 2015, pp. 179-192.
IEEE DOI 1507
emotion recognition BibRef

Khan, M.M., Ward, R.D., Ingleby, M.,
Toward Use of Facial Thermal Features in Dynamic Assessment of Affect and Arousal Level,
AffCom(8), No. 3, July 2017, pp. 412-425.
IEEE DOI 1709
Encoding, Extraterrestrial measurements, Facial muscles, Skin, Temperature measurement, Visualization, Affect-aware agents, affect arousal assessment, affect classification, human-robot, interaction BibRef

Lucas, G.M.[Gale M.], Gratch, J.[Jonathan], Malandrakis, N.[Nikolaos], Szablowski, E.[Evan], Fessler, E.[Eli], Nichols, J.[Jeffrey],
GOAALLL!: Using sentiment in the world cup to explore theories of emotion,
IVC(65), No. 1, 2017, pp. 58-65.
Elsevier DOI 1709
Sentiment BibRef

Kossaifi, J.[Jean], Tzimiropoulos, G.[Georgios], Todorovic, S.[Sinisa], Pantic, M.[Maja],
AFEW-VA database for valence and arousal estimation in-the-wild,
IVC(65), No. 1, 2017, pp. 23-36.
Elsevier DOI 1709
Continuous, affect, estimation, in-the-wild BibRef

Han, J.[Jing], Zhang, Z.[Zixing], Cummins, N.[Nicholas], Ringeval, F.[Fabien], Schuller, B.[Björn],
Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals,
IVC(65), No. 1, 2017, pp. 76-86.
Elsevier DOI 1709
Strength modelling BibRef

Subramanian, R., Wache, J., Abadi, M.K., Vieriu, R.L., Winkler, S., Sebe, N.,
ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors,
AffCom(9), No. 2, April 2018, pp. 147-160.
IEEE DOI 1806
Correlation, Databases, Emotion recognition, Physiology, Sensors, Speech recognition, Videos, Emotion and personality recognition, physiological signals BibRef

Meza-de-Luna, M.E., Terven, J.R., Raducanu, B., Salas, J.,
Assessing the Influence of Mirroring on the Perception of Professional Competence Using Wearable Technology,
AffCom(9), No. 2, April 2018, pp. 161-175.
IEEE DOI 1806
Bridges, Cameras, Computer vision, Head, Interviews, Psychology, Real-time systems, Mirroring, competence, nodding, perception, wearable technology BibRef

Naim, I., Tanveer, M.I., Gildea, D., Hoque, M.E.,
Automated Analysis and Prediction of Job Interview Performance,
AffCom(9), No. 2, April 2018, pp. 191-204.
IEEE DOI 1806
Context, Feature extraction, Interviews, Robots, Videos, YouTube, Nonverbal behavior prediction, job interviews, regression BibRef

Ali, M.R., Sen, T., Crasta, D., Nguyen, V.D., Rogge, R., Hoque, M.E.,
The What, When, and Why of Facial Expressions: An Objective Analysis of Conversational Skills in Speed-Dating Videos,
FG18(203-209)
IEEE DOI 1806
Correlation, Feature extraction, Lips, Psychology, Tools, Videos, conversational skills, facial expressions, speed-date BibRef

Gorbova, J., Avots, E., Lüsi, I., Fishel, M., Escalera, S., Anbarjafari, G.,
Integrating Vision and Language for First-Impression Personality Analysis,
MultMedMag(25), No. 2, April 2018, pp. 24-33.
IEEE DOI 1808
Feature extraction, Emotion recognition, Audio-visual systems, Databases, ubiquitous computing, pervasive computing, personality analysis BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], Baró, X., Escalante, H.J., Guyon, I., Escalera, S., van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Multimodal First Impression Analysis with Deep Residual Networks,
AffCom(9), No. 3, July 2018, pp. 316-329.
IEEE DOI 1809
Interviews, Feature extraction, Predictive models, Machine learning, Face, YouTube, Big Five personality traits, multimodal BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition,
ChaLearn16(III: 349-358).
Springer DOI 1611
BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], Pérez, M., Escalante, H.J., Baró, X., Andujar, C., Guyon, I., Junior, J.J., Madadi, M., Escalera, S., van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Visualizing Apparent Personality Analysis with Deep Residual Networks,
EmotionComp17(3101-3109)
IEEE DOI 1802
Analytical models, Data models, Interviews, Predictive models, Videos, Visualization BibRef

Wei, X.S.[Xiu-Shen], Zhang, C.L.[Chen-Lin], Zhang, H.[Hao], Wu, J.X.[Jian-Xin],
Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences,
AffCom(9), No. 3, July 2018, pp. 303-315.
IEEE DOI 1809
BibRef
Earlier: A2, A3, A1, A4:
Deep Bimodal Regression for Apparent Personality Analysis,
ChaLearn16(III: 311-324).
Springer DOI 1611
Visualization, Distributed Bragg reflectors, Machine learning, Convolution, Video sequences, Computational modeling, regression BibRef

Basu, A., Dasgupta, A., Thyagharajan, A., Routray, A., Guha, R., Mitra, P.,
A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features,
AffCom(9), No. 3, July 2018, pp. 330-342.
IEEE DOI 1809
Hidden Markov models, Emotion recognition, Biological system modeling, Feature extraction, Brain modeling, HMM BibRef

Asabere, N.Y., Acakpovi, A., Michael, M.B.,
Improving Socially-Aware Recommendation Accuracy Through Personality,
AffCom(9), No. 3, July 2018, pp. 351-361.
IEEE DOI 1809
Recommender systems, Social network services, Collaboration, Reliability, Face, Cold-start, hybrid, personality, social ties BibRef

López-Cuevas, A., Medina-Pérez, M.A., Monroy, R., Ramírez-Márquez, J.E., Trejo, L.A.,
FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness,
AffCom(9), No. 3, July 2018, pp. 372-382.
IEEE DOI 1809
Visualization, Data visualization, Biomedical monitoring, Real-time systems, Wearable sensors, Monitoring, IoT BibRef

Zhou, J., Arshad, S.Z., Wang, X., Li, Z., Feng, D., Chen, F.,
End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence,
AffCom(9), No. 3, July 2018, pp. 383-395.
IEEE DOI 1809
Uncertainty, Decision making, Data analysis, Correlation, Human computer interaction, Skin, Correlation, decision making, user confidence BibRef

Huang, X., Dhall, A., Goecke, R., Pietikäinen, M., Zhao, G.,
Multimodal Framework for Analyzing the Affect of a Group of People,
MultMed(20), No. 10, October 2018, pp. 2706-2721.
IEEE DOI 1810
emotion recognition, face recognition, feature extraction, Internet, learning (artificial intelligence), Multi-modality BibRef

Oveneke, M.C., Gonzalez, I., Enescu, V., Jiang, D., Sahli, H.,
Leveraging the Bayesian Filtering Paradigm for Vision-Based Facial Affective State Estimation,
AffCom(9), No. 4, October 2018, pp. 463-477.
IEEE DOI 1812
State estimation, Psychology, Bayes methods, Affective computing, Facial muscles, Kalman filters, Gaussian processes, Kalman filtering BibRef

Zhu, H.C.[Han-Cheng], Li, L.[Leida], Zhao, S.C.[Si-Cheng], Jiang, H.Y.[Hong-Yan],
Evaluating attributed personality traits from scene perception probability,
PRL(116), 2018, pp. 121-126.
Elsevier DOI 1812
Personality prediction, Attributed personality traits, Scene perception probability, Convolutional neural network BibRef


Lin, C.W.[Chih-Wei], Ding, Q.[Qilu],
Neuropsychiatric Disorders Identification Using Convolutional Neural Network,
MMMod19(II:315-327).
Springer DOI 1901
BibRef

Ramírez, G.[Gabriela], Villatoro, E.[Esaú], Ionescu, B.[Bogdan], Escalante, H.J.[Hugo Jair], Escalera, S.[Sergio], Larson, M.[Martha], Müller, H.[Henning], Guyon, I.[Isabelle],
Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest,
MIPPSNA18(127-139).
Springer DOI 1901
BibRef

Dotti, D., Popa, M., Asteriadis, S.,
Behavior and Personality Analysis in a Nonsocial Context Dataset,
Subjective18(2417-24178)
IEEE DOI 1812
Skeleton, Task analysis, Psychology, Feature extraction, Problem-solving, Computational modeling, Computer vision BibRef

Hu, G.S.[Guo-Sheng], Liu, L.[Li], Yuan, Y.[Yang], Yu, Z.[Zehao], Hua, Y.[Yang], Zhang, Z.H.[Zhi-Hong], Shen, F.[Fumin], Shao, L.[Ling], Hospedales, T.[Timothy], Robertson, N.[Neil], Yang, Y.X.[Yong-Xin],
Deep Multi-task Learning to Recognise Subtle Facial Expressions of Mental States,
ECCV18(XII: 106-123).
Springer DOI 1810
BibRef

Ghosh, S., Dhall, A., Sebe, N.,
Automatic Group Affect Analysis in Images via Visual Attribute and Feature Networks,
ICIP18(1967-1971)
IEEE DOI 1809
Databases, Face, Feature extraction, Pipelines, Mood, Training, Task analysis, Group level affect recognition BibRef

Heron, L., Kim, J., Lee, M., El Haddad, K., Dupont, S., Dutoit, T., Truong, K.,
A Dyadic Conversation Dataset on Moral Emotions,
FG18(687-691)
IEEE DOI 1806
Cameras, Conferences, Databases, Ethics, Feature extraction, Media, Semantics, affective computing, dataset, dyadic interaction, non-verbal expressions BibRef

Mioranda-Correa, J.A., Patras, I.,
A Multi-Task Cascaded Network for Prediction of Affect, Personality, Mood and Social Context Using EEG Signals,
FG18(373-380)
IEEE DOI 1806
Brain modeling, Electroencephalography, Feature extraction, Frequency-domain analysis, Mood, Neural networks, Physiology, Affect, Valence BibRef

Carissimi, N., Beyan, C., Murino, V.,
A Multi-View Learning Approach to Deception Detection,
FG18(599-606)
IEEE DOI 1806
Encoding, Face, Feature extraction, Machine learning, Physiology, Support vector machines, Syntactics, Deception detection, social interactions BibRef

Bandini, A., Green, J.R., Taati, B., Orlandi, S., Zinman, L., Yunusova, Y.,
Automatic Detection of Amyotrophic Lateral Sclerosis (ALS) from Video-Based Analysis of Facial Movements: Speech and Non-Speech Tasks,
FG18(150-157)
IEEE DOI 1806
Diseases, Face, Feature extraction, Image color analysis, Lips, Task analysis, Tracking, Intel RealSense, facial kinematics BibRef

Sen, T., Hasan, M.K., Tran, M., Yang, Y., Hoque, M.E.,
Say CHEESE: Common Human Emotional Expression Set Encoder and Its Application to Analyze Deceptive Communication,
FG18(357-364)
IEEE DOI 1806
Dairy products, Face, Games, Lips, Mouth, Psychology, Video recording, clustering, deception, facial expression BibRef

McCurrie, M.[Mel], Beletti, F.[Fernando], Parzianello, L.[Lucas], Westendorp, A.[Allen], Anthony, S.[Samuel], Scheirer, W.J.[Walter J.],
Predicting First Impressions with Deep Learning,
FG17(518-525)
IEEE DOI 1707
BibRef
And: A1, A5, A6, Only: Demo: FG17(999-999)
IEEE DOI 1707
Model subjective judgments. Biometrics (access control), Computational modeling, Computer vision, Face, Predictive models, Psychology, Visualization. Automobiles, Computer architecture, Moon, Roads BibRef

Kaya, H., Gürpinar, F., Salah, A.A.,
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs,
ChaLearnJob17(1651-1659)
IEEE DOI 1709
Decision trees, Face, Feature extraction, Interviews, Kernel, Training, Visualization BibRef

Bekhouche, S.E., Dornaika, F., Ouafi, A., Taleb-Ahmed, A.,
Personality Traits and Job Candidate Screening via Analyzing Facial Videos,
ChaLearnJob17(1660-1663)
IEEE DOI 1709
Estimation, Face, Feature extraction, Ground penetrating radar, Interviews, Video sequences, Videos BibRef

Wicaksana, A.S., Liem, C.C.S.,
Human-Explainable Features for Job Candidate Screening Prediction,
ChaLearnJob17(1664-1669)
IEEE DOI 1709
Face, Feature extraction, Gold, Lips, Predictive models, Principal component analysis, Video, recording BibRef

Gorbova, J., Lüsi, I., Litvin, A., Anbarjafari, G.,
Automated Screening of Job Candidate Based on Multimodal Video Processing,
ChaLearnJob17(1679-1685)
IEEE DOI 1709
Databases, Emotion recognition, Feature extraction, Interviews, Lips, Speech, Visualization BibRef

Kolouri, S., Martin, C.E., Hoffmann, H.,
Explaining Distributed Neural Activations via Unsupervised Learning,
ChaLearnJob17(1670-1678)
IEEE DOI 1709
Distributed databases, Feature extraction, Laboratories, Object detection, Semantics, Unsupervised learning, Visualization BibRef

Kumar, D., Wong, A., Taylor, G.W.,
Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks,
ChaLearnJob17(1686-1694)
IEEE DOI 1709
Convolution, Decision making, Heating systems, Image color analysis, Kernel, Neural networks, Visualization BibRef

Ithapu, V.K.,
Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization,
ChaLearnJob17(1695-1704)
IEEE DOI 1709
Matrix decomposition, Multiresolution analysis, Principal component analysis, Semantics, Sparse matrices, Symmetric matrices, Tools BibRef

Ventura, C., Masip, D., Lapedriza, A.,
Interpreting CNN Models for Apparent Personality Trait Regression,
ChaLearnJob17(1705-1713)
IEEE DOI 1709
Computational modeling, Computer architecture, Databases, Distance measurement, Face, Training, Visualization BibRef

Laksana, E., Baltrušaitis, T., Morency, L.P., Pestian, J.P.,
Investigating Facial Behavior Indicators of Suicidal Ideation,
FG17(770-777)
IEEE DOI 1707
Acoustics, Feature extraction, Gold, Hospitals, Interviews, Medical diagnostic imaging, Visualization BibRef

Bhatia, S., Hayat, M., Breakspear, M., Parker, G., Goecke, R.,
A Video-Based Facial Behaviour Analysis Approach to Melancholia,
FG17(754-761)
IEEE DOI 1707
Affective computing, Australia, Magnetic heads, Mood, Reliability, Videos, Visualization BibRef

Rai, N.,
Bi-modal regression for Apparent Personality trait Recognition,
ICPR16(55-60)
IEEE DOI 1705
Acoustics, Computational modeling, Facial features, Feature extraction, Predictive models, Training, Visualization BibRef

Grant, E., Sahm, S., Zabihi, M., van Gerven, M.,
Predicting and visualizing psychological attributions with a deep neural network,
ICPR16(1-6)
IEEE DOI 1705
Correlation, Deconvolution, Face, Psychology, Standards, Support vector machines, Visualization BibRef

Gürpinar, F., Kaya, H., Salah, A.A.,
Multimodal fusion of audio, scene, and face features for first impression estimation,
ICPR16(43-48)
IEEE DOI 1705
Acoustics, Emotion recognition, Face, Feature extraction, Kernel, Training, Visualization BibRef

Zhang, H.[Huaiwen], Zhang, J.[JiaMing], Sang, J.[Jitao], Xu, C.S.[Chang-Sheng],
A Demo for Image-Based Personality Test,
MMMod17(II: 433-437).
Springer DOI 1701
BibRef

Yan, Y.[Yan], Nie, J.[Jie], Huang, L.[Lei], Li, Z.[Zhen], Cao, Q.L.[Qing-Lei], Wei, Z.Q.[Zhi-Qiang],
Exploring Relationship Between Face and Trustworthy Impression Using Mid-level Facial Features,
MMMod16(I: 540-549).
Springer DOI 1601
BibRef
Earlier:
Is Your First Impression Reliable? Trustworthy Analysis Using Facial Traits in Portraits,
MMMod15(II: 148-158).
Springer DOI 1501
BibRef

Dhall, A.[Abhinav], Hoey, J.[Jesse],
First Impressions: Predicting User Personality from Twitter Profile Images,
HBU16(148-158).
Springer DOI 1611
BibRef

Chen, B.[Baiyu], Escalera, S.[Sergio], Guyon, I.[Isabelle], Ponce-López, V.[Víctor], Shah, N.[Nihar], Oliu Simón, M.[Marc],
Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits,
ChaLearn16(III: 419-432).
Springer DOI 1611
BibRef

Leo, M., Coco, M.D., Carcagni, P., Distante, C., Bernava, M., Pioggia, G., Palestra, G.,
Automatic Emotion Recognition in Robot-Children Interaction for ASD Treatment,
ACVR15(537-545)
IEEE DOI 1602
Emotion recognition BibRef

Ferwerda, B.[Bruce], Schedl, M.[Markus], Tkalcic, M.[Marko],
Using Instagram Picture Features to Predict Users' Personality,
MMMod16(I: 850-861).
Springer DOI 1601
BibRef

Celiktutan, O., Sariyanidi, E., Gunes, H.,
Let me tell you about your personality! -- Real-time personality prediction from nonverbal behavioural cues,
FG15(1-1)
IEEE DOI 1508
human-robot interaction BibRef

Zhao, H.[Huan], Yang, Z.Y.[Ze-Ying], Chen, Z.[Zuo], Zhang, X.X.[Xi-Xiang],
Automatic Chinese Personality Recognition Based on Prosodic Features,
MMMod15(I: 180-190).
Springer DOI 1501
BibRef

Sim, T.[Terence], Wei, J.[Jing], Ooi, W.T.[Wei Tsang],
What does computer vision say about face reading?,
ICIP14(1405-1409)
IEEE DOI 1502
Ancient Chinese practice that assesses a person's personality traits by applying a set of rules on facial features. No evidence to support this found. BibRef

Joshi, J.[Jyoti], Gunes, H.[Hatice], Goecke, R.[Roland],
Automatic Prediction of Perceived Traits Using Visual Cues under Varied Situational Context,
ICPR14(2855-2860)
IEEE DOI 1412
Personality traits. Computational modeling BibRef

Veenstra, A.[Arno], Hung, H.[Hayley],
Do they like me? Using video cues to predict desires during speed-dates,
SISM11(838-845).
IEEE DOI 1201
BibRef

Rojas Quiñones, M.[Mario], Masip, D.[David], Todorov, A.[Alexander], Vitria, J.[Jordi],
Automatic point-based facial trait judgments evaluation,
CVPR10(2715-2720).
IEEE DOI 1006
Personalities from facial traits. BibRef

Escalera, S.[Sergio], Martinez, R.M.[Rosa M.], Vitria, J.[Jordi], Radeva, P.I.[Petia I.], Anguera, M.T.[M. Teresa],
Dominance detection in face-to-face conversations,
CVPR4HB09(97-102).
IEEE DOI 0906
BibRef

Shreve, M.[Matthew], Jain, N.[Neeha], Goldgof, D.[Dmitry], Sarkar, S.[Sudeep], Kropatsch, W.[Walter], Tzou, C.H.J.[Chieh-Han John], Frey, M.[Manfred],
Evaluation of Facial Reconstructive Surgery on Patients with Facial Palsy Using Optical Strain,
CAIP11(I: 512-519).
Springer DOI 1109
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Emotion Recognition, from Other Than Faces .


Last update:Apr 10, 2019 at 17:48:33