Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

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Kalliatakis, Grigorios; Vidakis, Nikolaos; Triantafyllidis, Georgios;
(2017)

Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts. Motivated by the need of generating comprehensible visu... View more
  • References (22)
    22 references, page 1 of 3

    [1] M. D. Breitenstein, D. Kuettel, T. Weise, L. van Gool, and H. Pfister, “Real-time face pose estimation from single range images,” in Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, June 2008, pp. 1-8.

    [2] L. P. Morency, J. Whitehill, and J. Movellan, “Generalized adaptive view-based appearance model: Integrated framework for monocular head pose estimation,” in Automatic Face Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on, Sept 2008, pp. 1-8.

    [3] P. Padeleris, X. Zabulis, and A. A. Argyros, “Head pose estimation on depth data based on particle swarm optimization,” in 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, June 2012, pp. 42-49.

    [4] L.-P. Morency, “3d constrained local model for rigid and nonrigid facial tracking,” in Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ser. CVPR '12, 2012, pp. 2610-2617.

    [5] M. F. Valstar, T. Almaev, J. M. Girard, G. McKeown, M. Mehu, L. Yin, M. Pantic, and J. F. Cohn, “Fera 2015 - second facial expression recognition and analysis challenge,” in Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, vol. 06, May 2015, pp. 1-8.

    [6] G. Sandbach, S. Zafeiriou, M. Pantic, and L. Yin, “Static and dynamic 3d facial expression recognition: A comprehensive survey,” Image Vision Comput., vol. 30, no. 10, pp. 683-697, Oct. 2012.

    [7] N. Hesse, T. Gehrig, H. Gao, and H. K. Ekenel, “Multi-view facial expression recognition using local appearance features,” in Pattern Recognition (ICPR), 2012 21st International Conference on, Nov 2012, pp. 3533-3536.

    [8] T. Fang, X. Zhao, O. Ocegueda, S. K. Shah, and I. A. Kakadiaris, “3d facial expression recognition: A perspective on promises and challenges,” in Automatic Face Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on, March 2011, pp. 603-610.

    [9] N. Vidakis, E. Syntychakis, K. Kalafatis, E. Christinaki, and G. Triantafyllidis, “Ludic educational game creation tool: Teaching schoolers road safety,” in Universal Access in HumanComputer Interaction. Access to Learning, Health and WellBeing. Springer, 2015, pp. 565-576.

    [10] N. Vidakis, E. Christinaki, I. Serafimidis, and G. Triantafyllidis, “Combining ludology and narratology in an open authorable framework for educational games for children: the scenario of teaching preschoolers with autism diagnosis,” in Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge. Springer, 2014, pp. 626-636.

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