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Volumn , Issue , 2016, Pages

OpenFace: An open source facial behavior analysis toolkit

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BEHAVIORAL RESEARCH; FACE RECOGNITION; IMAGE RECOGNITION; LEARNING SYSTEMS; OPEN SYSTEMS;

EID: 84977660584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2016.7477553     Document Type: Conference Paper
Times cited : (1264)

References (72)
  • 2
    • 84977616412 scopus 로고    scopus 로고
    • Natural affect data-collection & annotation in a learning context
    • S. Afzal and P. Robinson. Natural Affect Data-Collection & Annotation in a Learning Context. Design, 2009.
    • (2009) Design
    • Afzal, S.1    Robinson, P.2
  • 4
    • 84887367849 scopus 로고    scopus 로고
    • Robust discriminative response map fitting with constrained local models
    • A. Asthana, S. Zafeiriou, S. Cheng, and M. Pantic. Robust discriminative response map fitting with constrained local models. In CVPR, 2013.
    • (2013) CVPR
    • Asthana, A.1    Zafeiriou, S.2    Cheng, S.3    Pantic, M.4
  • 6
    • 84881539534 scopus 로고    scopus 로고
    • Dimensional affect recognition using continuous conditional random fields
    • T. Baltrusaitis, N. Banda, and P. Robinson. Dimensional affect recognition using continuous conditional random fields. In FG, 2013.
    • (2013) FG
    • Baltrusaitis, T.1    Banda, N.2    Robinson, P.3
  • 8
    • 84897521682 scopus 로고    scopus 로고
    • Constrained local neural fields for robust facial landmark detection in the wild
    • T. Baltrusaitis, L.-P. Morency, and P. Robinson. Constrained local neural fields for robust facial landmark detection in the wild. In ICCVW, 2013.
    • (2013) ICCVW
    • Baltrusaitis, T.1    Morency, L.-P.2    Robinson, P.3
  • 9
    • 84866686647 scopus 로고    scopus 로고
    • 3D Constrained Local Model for Rigid and Non-Rigid Facial Tracking
    • T. Baltrusaitis, P. Robinson, and L.-P. Morency. 3D Constrained Local Model for Rigid and Non-Rigid Facial Tracking. In CVPR, 2012.
    • (2012) CVPR
    • Baltrusaitis, T.1    Robinson, P.2    Morency, L.-P.3
  • 10
    • 84954440460 scopus 로고    scopus 로고
    • Real time face detection and facial expression recognition: Development and applications to human computer interaction
    • M. S. Bartlett, G. Littlewort, I. Fasel, and J. R. Movellan. Real time face detection and facial expression recognition: Development and applications to human computer interaction. In CVPR Workshops, 2003.
    • (2003) CVPR Workshops
    • Bartlett, M.S.1    Littlewort, G.2    Fasel, I.3    Movellan, J.R.4
  • 15
    • 0033715577 scopus 로고    scopus 로고
    • Fast, reliable head tracking under varying illumination : An approach based on registration of texture-mapped 3d models
    • M. L. Cascia, S. Sclaroff, and V. Athitsos. Fast, Reliable Head Tracking under Varying Illumination : An Approach Based on Registration of Texture-Mapped 3D Models. TPAMI, 22 (4), 2000.
    • (2000) TPAMI , vol.22 , Issue.4
    • Cascia, M.L.1    Sclaroff, S.2    Athitsos, V.3
  • 16
    • 84898031305 scopus 로고    scopus 로고
    • Feature detection and tracking with constrained local models
    • D. Cristinacce and T. Cootes. Feature detection and tracking with constrained local models. In BMVC, 2006.
    • (2006) BMVC
    • Cristinacce, D.1    Cootes, T.2
  • 17
    • 84905391451 scopus 로고    scopus 로고
    • High accuracy head pose tracking survey
    • D. lzak, G. Schaefer, S. Vuong, and Y.-S. Kim, editors, Springer International Publishing
    • B. Czupryski and A. Strupczewski. High accuracy head pose tracking survey. In D. lzak, G. Schaefer, S. Vuong, and Y.-S. Kim, editors, Active Media Technology, volume 8610 of Lecture Notes in Computer Science, pages 407-420. Springer International Publishing, 2014.
    • (2014) Active Media Technology Vol 8610 of Lecture Notes in Computer Science , pp. 407-420
    • Czupryski, B.1    Strupczewski, A.2
  • 21
    • 80052874104 scopus 로고    scopus 로고
    • Real time head pose estimation with random regression forests
    • G. Fanelli, J. Gall, and L. V. Gool. Real time head pose estimation with random regression forests. In CVPR, pages 617-624, 2011.
    • (2011) CVPR , pp. 617-624
    • Fanelli, G.1    Gall, J.2    Gool, L.V.3
  • 22
    • 84864145559 scopus 로고    scopus 로고
    • Real time head pose estimation from consumer depth cameras
    • G. Fanelli, T. Weise, J. Gall, and L. van Gool. Real time head pose estimation from consumer depth cameras. In DAGM, 2011.
    • (2011) DAGM
    • Fanelli, G.1    Weise, T.2    Gall, J.3    Van Gool, L.4
  • 25
    • 84881519511 scopus 로고    scopus 로고
    • Social risk and depression: Evidence from manual and automatic facial expression analysis
    • J. M. Girard, J. F. Cohn, M. H. Mahoor, S. Mavadati, and D. P. Rosenwald. Social risk and depression: Evidence from manual and automatic facial expression analysis. In FG, 2013.
    • (2013) FG
    • Girard, J.M.1    Cohn, J.F.2    Mahoor, M.H.3    Mavadati, S.4    Rosenwald, D.P.5
  • 31
    • 79958720856 scopus 로고    scopus 로고
    • Action unit detection using sparse appearance descriptors in space-time video volumes
    • B. Jiang, M. F. Valstar, and M. Pantic. Action unit detection using sparse appearance descriptors in space-time video volumes. 20FG, 2011.
    • (2011) 20FG
    • Jiang, B.1    Valstar, M.F.2    Pantic, M.3
  • 33
    • 70349425850 scopus 로고    scopus 로고
    • Dlib-ml: A machine learning toolkit
    • D. E. King. Dlib-ml: A machine learning toolkit. JMLR, 2009.
    • (2009) JMLR
    • King, D.E.1
  • 35
    • 0022748004 scopus 로고
    • Gaze and eye contact: A research review
    • C. L. Kleinke. Gaze and eye contact: A research review. Psychological bulletin, 100 (1): 78-100, 1986.
    • (1986) Psychological Bulletin , vol.100 , Issue.1 , pp. 78-100
    • Kleinke, C.L.1
  • 38
    • 77956509035 scopus 로고    scopus 로고
    • The extended cohn-kanade dataset (CK+): A complete dataset for action unit and emotionspecified expression
    • P. Lucey, J. F. Cohn, T. Kanade, J. M. Saragih, Z. Ambadar, and I. Matthews. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotionspecified expression. In CVPR Workshops, 2010.
    • (2010) CVPR Workshops
    • Lucey, P.1    Cohn, J.F.2    Kanade, T.3    Saragih, J.M.4    Ambadar, Z.5    Matthews, I.6
  • 39
    • 84977667409 scopus 로고    scopus 로고
    • Advances, challenges, and opportunities in automatic facial expression recognition
    • B. S. M. Kawulok, E. Celebi, editor. Springer. In press
    • B. Martinez and M. Valstar. Advances, challenges, and opportunities in automatic facial expression recognition. In B. S. M. Kawulok, E. Celebi, editor, Advances in Face Detection and Facial Image Analysis. Springer, 2015. In press.
    • (2015) Advances in Face Detection and Facial Image Analysis
    • Martinez, B.1    Valstar, M.2
  • 40
    • 84875477958 scopus 로고    scopus 로고
    • Local evidence aggregation for regression based facial point detection
    • B. Martinez, M. F. Valstar, X. Binefa, and M. Pantic. Local evidence aggregation for regression based facial point detection. TPAMI, 35, 2013.
    • (2013) TPAMI , vol.35
    • Martinez, B.1    Valstar, M.F.2    Binefa, X.3    Pantic, M.4
  • 43
    • 84881485434 scopus 로고    scopus 로고
    • Predicting online media effectiveness based on smile responses gathered over the internet
    • D. McDuff, R. el Kaliouby, D. Demirdjian, and R. Picard. Predicting online media effectiveness based on smile responses gathered over the internet. In FG, 2013.
    • (2013) FG
    • McDuff, D.1    El Kaliouby, R.2    Demirdjian, D.3    Picard, R.4
  • 45
    • 67650688570 scopus 로고    scopus 로고
    • Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation
    • L.-P. Morency, J. Whitehill, and J. R. Movellan. Generalized Adaptive View-based Appearance Model: Integrated Framework for Monocular Head Pose Estimation. In FG, 2008.
    • (2008) FG
    • Morency, L.-P.1    Whitehill, J.2    Movellan, J.R.3
  • 46
    • 62249142056 scopus 로고    scopus 로고
    • Head pose estimation in computer vision: A survey
    • E. Murphy-Chutorian and M. M. Trivedi. Head Pose Estimation in Computer Vision: A Survey. TPAMI, 31: 607-626, 2009.
    • (2009) TPAMI , vol.31 , pp. 607-626
    • Murphy-Chutorian, E.1    Trivedi, M.M.2
  • 49
    • 84897520980 scopus 로고    scopus 로고
    • 300 faces in-the-wild challenge: The first facial landmark localization challenge
    • C. Sagonas, G. Tzimiropoulos, S. Zafeiriou, and M. Pantic. 300 faces in-the-wild challenge: The first facial landmark localization challenge. In ICCV, 2013.
    • (2013) ICCV
    • Sagonas, C.1    Tzimiropoulos, G.2    Zafeiriou, S.3    Pantic, M.4
  • 50
    • 79851513710 scopus 로고    scopus 로고
    • Deformable model fitting by regularized landmark mean-shift
    • J. Saragih, S. Lucey, and J. Cohn. Deformable Model Fitting by Regularized Landmark Mean-Shift. IJCV, 2011.
    • (2011) IJCV
    • Saragih, J.1    Lucey, S.2    Cohn, J.3
  • 51
    • 84975849259 scopus 로고    scopus 로고
    • Automatic analysis of facial affect: A survey of registration, representation and recognition
    • E. Sariyanidi, H. Gunes, and A. Cavallaro. Automatic analysis of facial affect: A survey of registration, representation and recognition. IEEE TPAMI, 2014.
    • (2014) IEEE TPAMI
    • Sariyanidi, E.1    Gunes, H.2    Cavallaro, A.3
  • 53
    • 84893210196 scopus 로고    scopus 로고
    • Automatic nonverbal behavior indicators of depression and ptsd: Exploring gender differences
    • G. Stratou, S. Scherer, J. Gratch, and L.-P. Morency. Automatic nonverbal behavior indicators of depression and ptsd: Exploring gender differences. In ACII, 2013.
    • (2013) ACII
    • Stratou, G.1    Scherer, S.2    Gratch, J.3    Morency, L.-P.4
  • 56
    • 50149119002 scopus 로고    scopus 로고
    • The spontaneous expression of pride and shame: Evidence for biologically innate nonverbal displays
    • J. L. Tracy and D. Matsumoto. The spontaneous expression of pride and shame: Evidence for biologically innate nonverbal displays. Proceedings of the National Academy of Sciences, 105 (33): 11655-11660, 2008.
    • (2008) Proceedings of the National Academy of Sciences , vol.105 , Issue.33 , pp. 11655-11660
    • Tracy, J.L.1    Matsumoto, D.2
  • 57
    • 84957999859 scopus 로고    scopus 로고
    • Project-Out Cascaded Regression with an application to Face Alignment
    • G. Tzimiropoulos. Project-Out Cascaded Regression with an application to Face Alignment. Cvpr, 2015.
    • (2015) Cvpr
    • Tzimiropoulos, G.1
  • 58
    • 84911056299 scopus 로고    scopus 로고
    • Gauss-Newton deformable part models for face alignment in-the-wild
    • G. Tzimiropoulos andM. Pantic. Gauss-Newton Deformable Part Models for Face Alignment In-the-Wild. Computer Vision and Pattern Recognition, (c): 1851-1858, 2014.
    • (2014) Computer Vision and Pattern Recognition , Issue.C , pp. 1851-1858
    • Tzimiropoulos, G.1    Pantic, M.2
  • 63
    • 84899692476 scopus 로고    scopus 로고
    • Eyetab: Model-based gaze estimation on unmodified tablet computers
    • Mar.
    • E. Wood and A. Bulling. Eyetab: Model-based gaze estimation on unmodified tablet computers. In Proceedings of ETRA, Mar. 2014.
    • (2014) Proceedings of ETRA
    • Wood, E.1    Bulling, A.2
  • 64
    • 84887383859 scopus 로고    scopus 로고
    • Supervised descent method and its applications to face alignment
    • X. Xiong and F. De la Torre. Supervised descent method and its applications to face alignment. In CVPR, 2013.
    • (2013) CVPR
    • Xiong, X.1    De La Torre, F.2
  • 65
    • 84898819324 scopus 로고    scopus 로고
    • Sieving regression forest votes for facial feature detection in the wild
    • H. Yang and I. Patras. Sieving Regression Forest Votes for Facial Feature Detection in the Wild. In ICCV, 2013.
    • (2013) ICCV
    • Yang, H.1    Patras, I.2
  • 66
    • 57149144228 scopus 로고    scopus 로고
    • A survey of affect recognition methods: Audio, visual, and spontaneous expressions
    • Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang. A survey of affect recognition methods: Audio, visual, and spontaneous expressions. TPAMI, 31 (1): 39-58, 2009.
    • (2009) TPAMI , vol.31 , Issue.1 , pp. 39-58
    • Zeng, Z.1    Pantic, M.2    Roisman, G.I.3    Huang, T.S.4
  • 67
    • 84906502960 scopus 로고    scopus 로고
    • Coarse-to-fine auto-encoder networks ( CFAN) for real-time face alignment
    • J. Zhang, S. Shan, M. Kan, and X. Chen. Coarse-to-Fine Auto-encoder Networks ( CFAN) for Real-time Face Alignment. In ECCV, pages 1-16, 2014.
    • (2014) ECCV , pp. 1-16
    • Zhang, J.1    Shan, S.2    Kan, M.3    Chen, X.4
  • 70
    • 85009935878 scopus 로고    scopus 로고
    • Facial landmark detection by deep multi-task learning
    • Z. Zhang, P. Luo, C.-C. Loy, and X. Tang. Facial Landmark Detection by Deep Multi-task Learning. Eccv, 2014.
    • (2014) Eccv
    • Zhang, Z.1    Luo, P.2    Loy, C.-C.3    Tang, X.4
  • 71
    • 84866667680 scopus 로고    scopus 로고
    • Face detection, pose estimation, and landmark localization in the wild
    • X. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR, 2012.
    • (2012) CVPR
    • Zhu, X.1    Ramanan, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.