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DEPTH FROM GAZE

Abstract: 

Eye trackers are found on various electronic devices. In this paper, we propose to exploit the gaze information acquired by an eye tracker for depth estimation. The data collected from the eye tracker in a fixation interval are used to estimate the depth of a gazed object. The proposed method can be used to construct a sparse depth map of an augmented reality space. The resulting depth map can be applied to, for example, controlling the visual information displayed to the viewer. A mathematical model for determining whether two depths in the augmented reality space are statistically distinguishable is also developed. Experimental results show that the proposed method can estimate and distinguish different object depths effectively.

Please refer to our paper at https://ieeexplore.ieee.org/document/8451156 for more details.

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Paper Details

Authors:
Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer Chen
Submitted On:
17 October 2018 - 6:44pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Tzu-Sheng Kuo
Paper Code:
2853
Document Year:
2018
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Document Files

Poster.pdf

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[1] Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer Chen, "DEPTH FROM GAZE", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3398. Accessed: Sep. 21, 2019.
@article{3398-18,
url = {http://sigport.org/3398},
author = {Tzu-Sheng Kuo; Kuang-Tsu Shih; Sheng-Lung Chung; Homer Chen },
publisher = {IEEE SigPort},
title = {DEPTH FROM GAZE},
year = {2018} }
TY - EJOUR
T1 - DEPTH FROM GAZE
AU - Tzu-Sheng Kuo; Kuang-Tsu Shih; Sheng-Lung Chung; Homer Chen
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3398
ER -
Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer Chen. (2018). DEPTH FROM GAZE. IEEE SigPort. http://sigport.org/3398
Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer Chen, 2018. DEPTH FROM GAZE. Available at: http://sigport.org/3398.
Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer Chen. (2018). "DEPTH FROM GAZE." Web.
1. Tzu-Sheng Kuo, Kuang-Tsu Shih, Sheng-Lung Chung, Homer Chen. DEPTH FROM GAZE [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3398