Appearance-based gaze estimation using deep features and random forest regression

Abstract

Conventional appearance-based gaze estimation methods employ local or global features as eye gaze appearance descriptor. But these methods don’t work well under natural light with free head movement. To solve this problem, we present an appearance-based gaze estimation method using deep feature representation and feature forest regression. The deep feature… (More)
DOI: 10.1016/j.knosys.2016.07.038

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Cite this paper

@article{Wang2016AppearancebasedGE, title={Appearance-based gaze estimation using deep features and random forest regression}, author={Yafei Wang and Tianyi Shen and Guoliang Yuan and Jiming Bian and Xianping Fu}, journal={Knowl.-Based Syst.}, year={2016}, volume={110}, pages={293-301} }