TY - GEN
T1 - Eyeball model construction with head movement compensation for gaze tracking systems
AU - Kao, Wen Chung
AU - Huang, Kuan Jen
AU - Chiu, Yi Chin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - The gaze tracker has become an important human machine interface, while it remains challenging for the users to move their head randomly. That is, the system performance appears significantly inferior due to the motion of a human head. However, the head movement compensation cannot be simply formulated as an eye detection problem. The minor error of the eye corner detection algorithm leads to an unacceptable result for limbus circle matching since the incorrect eyeball model is adopted. In this paper, we further explore the 3-D eyeball model anchored by the inner eye corner point. The relative location between the eyeball center and the inner eye corner is analyzed. This feature is used to guide the eyeball model construction as well as the limbus circle matching. The experimental results show the proposed approach allows a range of the estimation error for eye detection and the final limbus circle matching performance has been remarkably improved.
AB - The gaze tracker has become an important human machine interface, while it remains challenging for the users to move their head randomly. That is, the system performance appears significantly inferior due to the motion of a human head. However, the head movement compensation cannot be simply formulated as an eye detection problem. The minor error of the eye corner detection algorithm leads to an unacceptable result for limbus circle matching since the incorrect eyeball model is adopted. In this paper, we further explore the 3-D eyeball model anchored by the inner eye corner point. The relative location between the eyeball center and the inner eye corner is analyzed. This feature is used to guide the eyeball model construction as well as the limbus circle matching. The experimental results show the proposed approach allows a range of the estimation error for eye detection and the final limbus circle matching performance has been remarkably improved.
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U2 - 10.1109/ICCE46568.2020.9043027
DO - 10.1109/ICCE46568.2020.9043027
M3 - Conference contribution
AN - SCOPUS:85082585891
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Y2 - 4 January 2020 through 6 January 2020
ER -