Eyeball model-based iris center localization for visible image-based eye-gaze tracking systems

Seung Jin Baek, Kang A. Choi, Chunfei Ma, Young Hyun Kim, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

45 Citations (Scopus)

Abstract

In general, the visible image-based eye-gaze tracking system is heavily dependent on the accuracy of the iris center (IC) localization. In this paper, we propose a novel IC localization method based on the fact that the elliptical shape (ES) of the iris varies according to the rotation of the eyeball. We use the spherical model of the human eyeball and estimate the radius of the iris from the frontal and uprightview image of the eye. By projecting the eyeball rotated in pitch and yaw onto the 2-D plane, a certain number of the ESs of the iris and their corresponding IC locations are generated and registered as a database (DB). Finally, the location of IC is detected by matching the ES of the iris of the input eye image with the ES candidates in the DB. Moreover, combined with facial landmark points-based image rectification, the proposed IC localization method can successfully operate under natural head movement. Experimental results in terms of the IC localization and gaze tracking show that the proposed method achieves superior performance compared with conventional ones1.

Original languageEnglish
Article number6531125
Pages (from-to)415-421
Number of pages7
JournalIEEE Transactions on Consumer Electronics
Volume59
Issue number2
DOIs
Publication statusPublished - 2013

Keywords

  • Iris center localization
  • eyeball model
  • gaze tracking
  • human-device interaction
  • visible image

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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