Koki Koshikawa
Kentaro Takemura
ABSTRACT
The number of near-infrared light-emitting diodes (LEDs) is increasing to improve the accuracy and robustness of eye-tracking methods, and it is necessary to determining the identifiers (IDs) of the LEDs when applying multiple light sources. Therefore, we propose polarized near-infrared light emissions for an eye gaze estimation. We succeeded in determining the IDs of LEDs using polarization information. In addition, we remove glints from the cornea for correctly detecting the pupil center. We confirmed the effectiveness of using polarized near-infrared light emissions through evaluation experiments.
- L Chen and D.A Chernyak. 2010. Elimination of Cornea Reflections Using Polarized Illumination. Investigative Ophthalmology & Visual science an ARVO journal 51 (2010). https://iovs.arvojournals.org/article.aspx?articleid=2372822Google Scholar
- Elias Daniel Guestrin and Moshe Eizenman. 2006. General theory of remote gaze estimation using the pupil center and corneal reflections. IEEE Transactions on Biomedical Engineering(2006). https://doi.org/10.1109/TBME.2005.863952Google Scholar
- Dan Witzner Hansen and Qiang Ji. 2010. In the Eye of the Beholder: A Survey of Models for Eyes and Gaze. IEEE Transactions on Pattern Analysis and Machine Intelligence (2010). https://doi.org/10.1109/TPAMI.2009.30Google Scholar
- Carlos H. Morimoto and Marcio R.M. Mimica. 2005. Eye gaze tracking techniques for interactive applications. Computer Vision and Image Understanding(2005). https://doi.org/10.1016/j.cviu.2004.07.010Google Scholar
- Atsushi Nakazawa and Christian Nitschke. 2012. Point of gaze estimation through corneal surface reflection in an active illumination environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://doi.org/10.1007/978-3-642-33709-3_12Google Scholar
- Christian Nitschke, Atsushi Nakazawa, and Haruo Takemura. 2011. Practical display-camera calibration from eye reflections using coded illumination. In 1st Asian Conference on Pattern Recognition, ACPR 2011. https://doi.org/10.1109/ACPR.2011.6166661Google ScholarCross Ref
- Masato Sasaki, Takashi Nagamatsu, and Kentaro Takemura. 2018. Cross-Ratio Based Gaze Estimation using Polarization Camera System. In Proceedings of 2018 ACM International Conference Interactive Surfaces and Spaces - ISS ’18. 333–338. https://doi.org/10.1145/3279778.3279909Google ScholarDigital Library
- Masato Sasaki, Takashi Nagamatsu, and Kentaro Takemura. 2019. Screen corner detection using polarization camera for cross-ratio based gaze estimation. In Proceedings of Symposium Eye-Tracking Research & Applications - ETRA ’19. https://doi.org/10.1145/3314111.3319814Google ScholarDigital Library
- Sheng Wen Shih and Jin Liu. 2004. A Novel Approach to 3-D Gaze Tracking Using Stereo Cameras. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics (2004). https://doi.org/10.1109/TSMCB.2003.811128Google Scholar
- Dong Hyun Yoo, Jae Heon Kim, Bang Rae Lee, and Myoung Jin Chung. 2002. Non-contact eye gaze tracking system by mapping of corneal reflections. In Proceedings - 5th IEEE International Conference on Automatic Face Gesture Recognition, FGR 2002. https://doi.org/10.1109/AFGR.2002.1004139Google Scholar
- Polarized Near-Infrared Light Emission for Eye Gaze Estimation
Recommendations
Gaze Estimation with Imperceptible Marker Displayed Dynamically using Polarization
ETRA '22: 2022 Symposium on Eye Tracking Research and ApplicationsConventional eye-tracking methods require NIR-LEDs at the corners and edges of displays as references. However, extensive eyeball rotation results in the loss of reflections. Therefore, we propose imperceptible markers that can be dynamically displayed ...
Eye-gaze interaction for mobile phones
Mobility '07: Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technologyIn this paper, we discuss the use of eye-gaze tracking technology for mobile phones. In particular we investigate how gaze interaction can be used to control applications on handheld devices. In contrast to eye-tracking systems for desktop computers, ...
Face matching between near infrared and visible light images
ICB'07: Proceedings of the 2007 international conference on Advances in BiometricsIn many applications, such as E-Passport and driver's license, the enrollment of face templates is done using visible light (VIS) face images. Such images are normally acquired in controlled environment where the lighting is approximately frontal. ...
Comments