MPIIFaceGaze : It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation
A. Bulling. Dataset, (2023)Related to: Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling. 2019. MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(1), pp. 162-175. doi: 10.1109/TPAMI.2017.2778103.
DOI: 10.18419/darus-3240
Abstract
We present the MPIIFaceGaze dataset which is based on the MPIIGaze dataset, with the additional human facial landmark annotation and the face regions available. We added additional facial landmark and pupil center annotations for 37,667 face images. Facial landmarks annotations were conducted in a semi-automatic manner as running facial landmark detection method first and then checking by two human annotators. The pupil centers were annotated by two human annotators from scratch. For sake of privacy, we only released the face region and blocked the background in images. See readme.txt for more details about the data.
Related to: Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling. 2019. MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(1), pp. 162-175. doi: 10.1109/TPAMI.2017.2778103
%0 Generic
%1 bulling2023mpiifacegaze
%A Bulling, Andreas
%D 2023
%K darus ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie
%R 10.18419/darus-3240
%T MPIIFaceGaze : It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation
%X We present the MPIIFaceGaze dataset which is based on the MPIIGaze dataset, with the additional human facial landmark annotation and the face regions available. We added additional facial landmark and pupil center annotations for 37,667 face images. Facial landmarks annotations were conducted in a semi-automatic manner as running facial landmark detection method first and then checking by two human annotators. The pupil centers were annotated by two human annotators from scratch. For sake of privacy, we only released the face region and blocked the background in images. See readme.txt for more details about the data.
@misc{bulling2023mpiifacegaze,
abstract = {We present the MPIIFaceGaze dataset which is based on the MPIIGaze dataset, with the additional human facial landmark annotation and the face regions available. We added additional facial landmark and pupil center annotations for 37,667 face images. Facial landmarks annotations were conducted in a semi-automatic manner as running facial landmark detection method first and then checking by two human annotators. The pupil centers were annotated by two human annotators from scratch. For sake of privacy, we only released the face region and blocked the background in images. See readme.txt for more details about the data. },
added-at = {2023-03-20T10:56:29.000+0100},
affiliation = {Bulling, Andreas/University of Stuttgart},
author = {Bulling, Andreas},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2da04e1fa2271b9adab4d12d4b8320d64/unibiblio},
doi = {10.18419/darus-3240},
howpublished = {Dataset},
interhash = {ca43553d8fe3b39b2af5ef5ee8011556},
intrahash = {da04e1fa2271b9adab4d12d4b8320d64},
keywords = {darus ubs_10005 ubs_20008 ubs_30086 ubs_40336 unibibliografie},
note = {Related to: Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling. 2019. MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 41(1), pp. 162-175. doi: 10.1109/TPAMI.2017.2778103},
orcid-numbers = {Bulling, Andreas/0000-0001-6317-7303},
timestamp = {2025-03-06T11:36:10.000+0100},
title = {MPIIFaceGaze : It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation},
year = 2023
}
