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EYEDIAP: A Database for the Development and Evaluation of Gaze Estimation Algorithms from RGB and RGB-D Cameras
Type of publication: Conference paper
Citation: FunesMora_ETRA_2014
Publication status: Published
Booktitle: Proceedings of the ACM Symposium on Eye Tracking Research and Applications
Year: 2014
Month: March
Publisher: ACM
Location: Safety Harbor, Florida, United States of America
DOI: 10.1145/2578153.2578190
Abstract: The lack of a common benchmark for the evaluation of the gaze estimation task from RGB and RGB-D data is a serious limitation for distinguishing the advantages and disadvantages of the many proposed algorithms found in the literature. This paper intends to overcome this limitation by introducing a novel database along with a common framework for the training and evaluation of gaze estimation approaches. In particular, we have designed this database to enable the evaluation of the robustness of algorithms with respect to the main challenges associated to this task: i) Head pose variations; ii) Person variation; iii) Changes in ambient and sensing conditions and iv) Types of target: screen or 3D object.
Projects Idiap
Authors Funes Mora, Kenneth Alberto
Monay, Florent
Odobez, Jean-Marc
Added by: [UNK]
Total mark: 0
  • FunesMora_ETRA_2014.pdf