作者
Xucong Zhang, Yusuke Sugano, Mario Fritz, Andreas Bulling
发表日期
2017/11/28
期刊
IEEE transactions on pattern analysis and machine intelligence
卷号
41
期号
1
页码范围
162-175
出版商
IEEE
简介
Learning-based methods are believed to work well for unconstrained gaze estimation, i.e. gaze estimation from a monocular RGB camera without assumptions regarding user, environment, or camera. However, current gaze datasets were collected under laboratory conditions and methods were not evaluated across multiple datasets. Our work makes three contributions towards addressing these limitations. First, we present the MPIIGaze dataset, which contains 213,659 full face images and corresponding ground-truth gaze positions collected from 15 users during everyday laptop use over several months. An experience sampling approach ensured continuous gaze and head poses and realistic variation in eye appearance and illumination. To facilitate cross-dataset evaluations, 37,667 images were manually annotated with eye corners, mouth corners, and pupil centres. Second, we present an extensive …
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X Zhang, Y Sugano, M Fritz, A Bulling - IEEE transactions on pattern analysis and machine …, 2017