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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