In this paper, a review is presented for the research on eye gaze estimation techniques and
applications, which has progressed in diverse ways over the past two decades. Several …

Robust and accurate detection of the pupil position is a key building block for head-mounted
eye tracking and prerequisite for applications on top, such as gaze-based human–computer …

Over the past few years, there has been an increased interest in automatic facial behavior
analysis and understanding. We present OpenFace-an open source tool intended for …

Eye gaze is an important non-verbal cue for human affect analysis. Recent gaze estimation
work indicated that information from the full face region can benefit performance. Pushing …

Appearance-based gaze estimation is believed to work well in real-world settings, but
existing datasets have been collected under controlled laboratory conditions and methods …

Images of the eye are key in several computer vision problems, such as shape registration
and gaze estimation. Recent large-scale supervised methods for these problems require …

Learning-based methods are believed to work well for unconstrained gaze estimation, ie
gaze estimation from a monocular RGB camera without assumptions regarding user …

Estimating human gaze from natural eye images only is a challenging task. Gaze direction
can be defined by the pupil-and the eyeball center where the latter is unobservable in 2D …

For eye tracking to become a ubiquitous part of our everyday interaction with computers, we
first need to understand its limitations outside rigorously controlled labs, and develop robust …

Conventional feature-based and model-based gaze estimation methods have proven to
perform well in settings with controlled illumination and specialized cameras. In …