Robust glint detection through homography normalization

Dan Witzner Hansen; Lars  Roholm; Iván  	 García Ferreiros

doi:10.1145/2578153.2578165

Robust glint detection through homography normalization

Dan Witzner Hansen, Lars Roholm, Iván García Ferreiros

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer 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.

Originalsprog	Engelsk
Titel	ETRA '14 Proceedings of the Symposium on Eye Tracking Research and Applications
Antal sider	4
Forlag	Association for Computing Machinery
Publikationsdato	1 maj 2014
Sider	91-94
ISBN (Trykt)	978-1-4503-2751-0
DOI	https://doi.org/10.1145/2578153.2578165
Status	Udgivet - 1 maj 2014

Emneord

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

Adgang til dokumentet

10.1145/2578153.2578165

etra2014GlintNormalisationAccepteret manuskript, 639 KB

http://eye.itu.dk

Citationsformater

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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.",

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Robust glint detection through homography normalization. / Hansen, Dan Witzner; Roholm, Lars ; García Ferreiros, Iván .
ETRA '14 Proceedings of the Symposium on Eye Tracking Research and Applications . Association for Computing Machinery, 2014. s. 91-94.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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KW - Web camera data

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KW - Corneal reflections

KW - Eye tracking

KW - Web camera data

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DO - 10.1145/2578153.2578165

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