Evaluation of accurate eye corner detection methods for gaze estimation

Accurate detection of iris center and eye corners appears to be a promising approach for low cost gaze estimation. In this paper we propose novel eye inner corner detection methods. Appearance and feature based segmentation approaches are suggested. All these methods are exhaustively tested on a rea...

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Bibliographic Details
Published inJournal of eye movement research Vol. 7; no. 3
Main Authors Bengoechea, Jose Javier, Cerrolaza, Juan J., Villanueva, Arantxa, Cabeza, Rafael
Format Journal Article
LanguageEnglish
Published MDPI AG 01.01.2014
Subjects
eye inner corner
eye tracking
low cost
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ISSN1995-8692
1995-8692
DOI10.16910/jemr.7.3.3

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Summary:Accurate detection of iris center and eye corners appears to be a promising approach for low cost gaze estimation. In this paper we propose novel eye inner corner detection methods. Appearance and feature based segmentation approaches are suggested. All these methods are exhaustively tested on a realistic dataset containing images of subjects gazing at different points on a screen. We have demonstrated that a method based on a neural network presents the best performance even in light changing scenarios. In addition to this method, algorithms based on AAM and Harris corner detector present better accuracies than recent high performance face points tracking methods such as Intraface.
ISSN:1995-8692
1995-8692
DOI:10.16910/jemr.7.3.3