Robust and accurate eye-gaze tracking and its applications
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Authors
Wang, Kang
Issue Date
2019-05
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Electrical engineering
Alternative Title
Abstract
First, existing eye-gaze tracking systems typically require an explicit personal calibration that not only degrades the user experience, but also makes it difficult to perform natural eye-gaze tracking. To eliminate this requirement, we introduce a novel approach that combines a top-down saliency map with a bottom-up gaze distribution map. By minimizing the KL-divergence between the two maps, personal calibration can be implicitly performed without the user's explicit collaboration. Next, we further eliminate the usage of saliency map by leveraging several constraints during natural eye-gaze tracking to estimate the personal eye parameters.
Description
May 2019
School of Engineering
School of Engineering
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY