Robust glint detection through homography normalization

Dan Witzner Hansen, Lars Roholm, Iván García Ferreiros

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

A novel normalization principle for robust glint detection is presented. The method is based on geometric properties of corneal reflections and allows for simple and effective detection of glints even in the presence of several spurious and identically appearing reflections. The method is tested on both simulated and data obtained from web cameras. The proposed method is a possible direction towards making eye trackers more robust to challenging scenarios.
Original languageEnglish
Title of host publication ETRA '14 Proceedings of the Symposium on Eye Tracking Research and Applications
Number of pages4
PublisherAssociation for Computing Machinery
Publication date1 May 2014
Pages91-94
ISBN (Print)978-1-4503-2751-0
DOIs
Publication statusPublished - 1 May 2014

Keywords

  • Normalization principle
  • Robust glint detection
  • Corneal reflections
  • Eye tracking
  • Web camera data

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