Evaluation of accurate eye corner detection methods for gaze estimation

  • Jose Javier Bengoechea Public University of Navarra, Spain
  • Juan J. Cerrolaza Childrens National Medical Center, USA
  • Arantxa Villanueva Public University of Navarra, Spain
  • Rafael Cabeza Public University of Navarra, Spain
Keywords: eye tracking, low cost, eye inner corner

Abstract

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.
Published
2014-03-27
How to Cite
Bengoechea, J. J., Cerrolaza, J. J., Villanueva, A., & Cabeza, R. (2014). Evaluation of accurate eye corner detection methods for gaze estimation. Journal of Eye Movement Research, 7(3). https://doi.org/10.16910/jemr.7.3.3
Section
Articles

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