Abstract
Gaze estimation research has experienced significant progress in accuracy and tolerance of free head movement since reference light sources were introduced. The problem, however, is that it needs complex setup and restricted light environment to make sure there is no unexpected reflex light spot in the eye. This paper proposes a method that only needs one camera and no reference light source. The trade-off for minimizing the requirement is that only 3 out of 6 degrees-of-freedom of head movement is allowed. The 3D coordinates of feature points under restricted head movement can be determined. With these head movement information, we can compensate the results produced by homography between eye plane and screen plane. The model is simple and practical and the experimental data demonstrates that the RMS error is less than 1cm.
This work is supported partly by key projects in the science & technology pillar program of Tianjin, P.R. China. (No. 10ZCKFGX01100).
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References
Shih, S.W., Liu, J.: A novel approach to 3-D gaze tracking using stereo cameras. IEEE Transactions on Syst. Man and Cybern., Part B 34, 234–245 (2004)
Model, D., Eizenman, M.: User-Calibration-Free Remote Gaze Estimation System. In: ETRA 2010: Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications (2010)
Guestrin, E.D., Eizenman, M.: Remote point-of-gaze estimation requiring a single-point calibration for application with infants. In: Proceedings of the 2008 Conference on Eye Tracking Research and Applications, p. 267 (2008)
Villanueva, A., Cabeza, R.: A Novel Gaze Estimation System With One Calibration Point. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics 38(4) (August 2008)
Morimoto, C.H., Amir, A., Flickner, M.: Detecting eye positionand gaze from a single camera and 2 light sources. In: Proceedings of the International Conference on Pattern Recognition (2002)
Yoo, D.H., Chung, M.J.: A Novel Non-Intrusive Eye Gaze Estimation Using Cross-Ratio under Large Head Motion. Computer Vision and Image Understanding 98(1), 25–51 (2005)
Hansen, D.W., Agustin, J.S., Villanueva, A.: Homography Normalization for Robust Gaze Estimation in Uncalibrated Setups. In: ETRA 2010 Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications (2010)
Shao, G., Che, M., Zhang, B., Cen, K., Gao, W.: A Novel Simple 2D Model of Eye Gaze Estimation. In: The 2nd International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2010), pp. 300–304 (August 2010)
Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)
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Li, W., Che, M., Li, F. (2012). Gaze Estimation Research with Single Camera. In: Khachidze, V., Wang, T., Siddiqui, S., Liu, V., Cappuccio, S., Lim, A. (eds) Contemporary Research on E-business Technology and Strategy. iCETS 2012. Communications in Computer and Information Science, vol 332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34447-3_53
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DOI: https://doi.org/10.1007/978-3-642-34447-3_53
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