NEW KEY POINT DETECTION TECHNOLOGY UNDER REAL-TIME EYE TRACKING, 71-76.

Jiancheng Zou and Honggen Zhang

References

  1. [1] N. Shao, Binocular visual coordinated tracking control for amulti-robot system based on terminal sliding mode, Controland Intelligent Systems, 44(4), 2016, 2787.
  2. [2] J. Orlosky, et al., Emulation of physician tasks in eye-trackedvirtual, Proc. IEEE Transactions on Visualization & ComputerGraphics, PP(99), 2017, 1302–1311.
  3. [3] T. Gunendradasan, et al., Expression negation and componentselection algorithm for face recognition from single sample perperson, Control and Intelligent Systems, 44(3), 2016, 2758.
  4. [4] A.T. Duchowski, Eye tracking methodology: Theory and practice, 2nd ed. (London: Springer Ltd Press, 2007).
  5. [5] C.H. Morimoto and M.R.M. Mimica, Eye gaze tracking techniques for interactive applications, Computer Vision & ImageUnderstanding, 98, 2005, 4–24.
  6. [6] L. Wang, et al., Visual tracking with fully convolutionalnetworks, Proc. IEEE International Conf. on Computer Vision,Santiago, 2015, 3119–3127.
  7. [7] E. Zhou, et al., Extensive facial landmark localization withcoarse to-fine convolutional network cascade, Proc. IEEE International Conf. on Computer Vision Workshops, San Jose,2013, 386–391.
  8. [8] J. Wu and Z.H. Zhou, Efficient face candidates selector forface detection, Pattern Recognition, 36(5), 2003, 1175–1186.
  9. [9] G.C. Feng and P.C. Yuen, Variance projection function andits application to eye detection for human face recognition,Pattern Recognition Letters, 19(9), 1998, 899–906.
  10. [10] J. Huang, X. Shao, and H. Wechsler, Face pose discriminationusing support vector machines (SVM), Pattern Recognition,1(1), 1998. Pro, Fourteenth International Conference on IEEE,1998, 154–156.
  11. [11] W.H. Dan and J.P. Hansen, Robustifying eye interaction, Proc.IEEE Conf. on Computer Vision and Pattern RecognitionWorkshop, New York, 2006.
  12. [12] Y. Fei, et al., Eye localization through multiscale sparsedictionaries, Proc. IEEE International Conf. on AutomaticFace & Gesture Recognition and Workshops, Santa Barbara,2011, 514–518.
  13. [13] J. Hu, W. Deng, and J. Guo, Robust eye detection via sparserepresentation, Proc. IEEE International Conf. on NetworkInfrastructure and Digital Content, Beijing, 2013, 411–415.
  14. [14] Y. Sun, X. Wang, and X. Tang, Deep convolutional networkcascade for facial point detection, Proc. IEEE Computer Visionand Pattern Recognition, Portland, 2013, 3476–3483.
  15. [15] Y. Ebisawa, Unconstrained pupil detection technique usingtwo light sources and the image difference method, Visual.Intell. Design Eng. Architect., 3, 1995, 79–89.
  16. [16] H.Y. Dong, et al., Non-intrusive eye gaze estimation usinga projective invariant under head movement, Proc. IEEEInternational Conf. on Robotics and Automation, Stockholm,2006, 3443–3448.
  17. [17] Y. Su, et al., Robust eye and pupil detection method for gazetracking, International Journal of Advanced Robotic Systems,10(2), 2013, 1.
  18. [18] Y. Le Cun, C. Han, C. Wang, B. Jeng, and K. Fan, Theapplication of a convolution neural network on face and licenseplate detection, Proc.18th International Conf. on PatternRecognition, Hongkong, 2006, 552–555.
  19. [19] T. Takeshi, T. Gotoh, and G. Ohyama, An algorithm formodel-based stable pupil detection for eye tracking system,Systems & Computers in Japan, 35, 2004, 21–31.

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