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Study on the interest of hybrid fundamental matrix for head mounted eye tracker modeling.

, , , and . BMVC, page 1-10. BMVA Press, (2011)

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On the information selection for optimal data association., , , and . FUSION, page 1-8. IEEE, (2017)Multi-ROI Association and Tracking With Belief Functions: Application to Traffic Sign Recognition., , , , and . IEEE Trans. Intell. Transp. Syst., 15 (6): 2470-2479 (2014)Evidential Object Association Using Heterogeneous Sensor Data., , , and . FUSION, page 1285-1292. IEEE, (2018)Calibration rapide pour I'Eye tracking., , , and . IHM, page 173-176. ACM, (2009)Coupled detection, association and tracking for Traffic Sign Recognition., , , and . Intelligent Vehicles Symposium, page 1402-1407. IEEE, (2014)Parallax beam: a vision-based motion estimation method robust to nearly planar scenes., , , and . J. Electronic Imaging, 28 (2): 023030 (2019)Heterogeneous sensor data fusion for multiple object association using belief functions., , , and . Inf. Fusion, (2020)Special Section Guest Editorial: Quality Control by Artificial Vision VI., , , and . J. Electronic Imaging, 29 (4): 041001 (2020)Calibration and disparity maps for a depth camera based on a four-lens device., , , , and . J. Electronic Imaging, 24 (6): 061108 (2015)Autocalibration-based partioning relationship and parallax relation for head-mounted eye trackers., , , and . Mach. Vis. Appl., 24 (2): 393-406 (2013)