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

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

In general, three-dimensional (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 the 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 languageEnglish
JournalIEEE Access
DOIs
Publication statusAccepted/In press - 2018 Aug 24

Keywords

  • Calibration
  • Calibration
  • Cameras
  • Computer vision
  • Cost function
  • Gaze tracking
  • Gaze tracking
  • Human computer interaction
  • Measurement uncertainty
  • Robustness
  • Solid modeling

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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