Paper Info
Title
A Robust Extrinsic Calibration Method for Non-Contact Gaze Tracking in the 3-D Space.
Abstract
In general, 3-D gaze tracking methods employ both a frontal-viewing camera and an eye-capturing camera facing the opposite direction to precisely estimate the point-of-regard (POR) in the 3-D space. The extrinsic calibration of these two cameras for accurate 3-D gaze tracking is a challenging task. This paper presents a robust extrinsic calibration method for non-contact gaze tracking in the 3-D space. Even in a noisy environment, the extrinsic calibration parameters are precisely estimated by minimizing the proposed cost function consisting of both the angular and Euclidean errors. Furthermore, using the estimated parameters, the 3-D POR is exactly determined based on the two-view geometry. Compared with the conventional methods, the proposed method provides superior results in experiments considering various factors such as the noise level, head movement, and camera configuration. In real experiments, we achieved an average Euclidean error of 12.6 cm and the average angular error of 0.98 degrees when estimating the 3-D coordinates of PORs that were 4-8 m away from the user.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2867235
IEEE ACCESS
Keywords
Field
DocType
Calibration,gaze tracking,computer vision,human computer interaction
Computer vision,Gaze,Angular error,Computer science,Noise level,Measurement uncertainty,Robustness (computer science),Solid modeling,Artificial intelligence,Euclidean geometry,Calibration,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
muncheon kang1266.79
cheolhwan yoo252.76
Kwang-Hyun Uhm372.52
Dae-Hong Lee452.16
Sung-Jea Ko51051114.34