Gaze position detection by computing the three dimensional facial positions and motions

Kang Ryoung Park, Jeong Jun Lee, Jaihie Kim

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Gaze detection is to locate the position on a monitor screen where a user is looking. In our work, we implemented it by a computer vision system with a single camera above the monitor. We computed the initial three dimensional positions of facial features (both eyes, nostrils and lip comers) by a camera calibration and a parameter estimation algorithm, and also computed the moved 3D positions of those features by 3D rotation and translation estimations and affine transform. Finally, the gaze position on the monitor is computed from the normal vector of the plane determined by those moved 3D positions of features. Gaze detection error was 5.11 cm (RMS error) when the distance between the user and the monitor is 50-70 cm and a 19 in monitor is used.

Original languageEnglish
Pages (from-to)2559-2569
Number of pages11
JournalPattern Recognition
Volume35
Issue number11
DOIs
Publication statusPublished - 2002 Nov

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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