A robust extrinsic calibration method for non-contact gaze tracking in the 3-d space

Mun Cheon Kang; Cheol Hwan Yoo; Kwang Hyun Uhm; Dae Hong Lee; Sung Jea Ko

doi:10.1109/ACCESS.2018.2867235

A robust extrinsic calibration method for non-contact gaze tracking in the 3-d space

Mun Cheon Kang, Cheol Hwan Yoo, Kwang Hyun Uhm, Dae Hong Lee, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

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° when estimating the 3-D coordinates of PORs that were 4-8 m away from the user.

Original language	English
Article number	8447183
Pages (from-to)	48840-48849
Number of pages	10
Journal	IEEE Access
Volume	6
DOIs	https://doi.org/10.1109/ACCESS.2018.2867235
Publication status	Published - 2018 Aug 24

Bibliographical note

Funding Information:
This work was supported in part by the Institute for Information and communications Technology Promotion through the Korea government under Grant 2017-0-00250 and in part by the Intelligent Defense Boundary Surveillance Technology Using Collaborative Reinforced Learning of Embedded Edge Camera and Image Analysis

Publisher Copyright:
© 2013 IEEE.

Keywords

Calibration
computer vision
gaze tracking
human computer interaction

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering
Electrical and Electronic Engineering

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10.1109/ACCESS.2018.2867235

Cite this

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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° when estimating the 3-D coordinates of PORs that were 4-8 m away from the user.",

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note = "Funding Information: This work was supported in part by the Institute for Information and communications Technology Promotion through the Korea government under Grant 2017-0-00250 and in part by the Intelligent Defense Boundary Surveillance Technology Using Collaborative Reinforced Learning of Embedded Edge Camera and Image Analysis Publisher Copyright: {\textcopyright} 2013 IEEE.",

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AU - Ko, Sung Jea

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N2 - 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° when estimating the 3-D coordinates of PORs that were 4-8 m away from the user.

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A robust extrinsic calibration method for non-contact gaze tracking in the 3-d space

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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