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Fixation Points Estimation Based on Binocular Stereo Vision

Published: 10 September 2020 Publication History

Abstract

This paper proposes a method of fixation points estimation combining the two-dimension mapping model with three-dimension stereo vision. The purpose of our study is to design an easy-to-use non-contact gaze tracking system under natural light. The method of two-dimension mapping is easy to achieve, however, it needs the user to keep the head being fixed. It could achieve higher estimation accuracy though it is still not easy for users to use the algorithm. To solve this problem, we have introduced the binocular cameras to calculate the pose of head and then add the related result into the result of 2D mapping to compensate the movement of head. The average error angles of gaze estimation in the case head fixed and head moving are 5.1°and 8.5°, respectively. This proposed method is easy to achieve and the experiment device is easy to mounted.

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  1. Fixation Points Estimation Based on Binocular Stereo Vision

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    ICDSP '20: Proceedings of the 2020 4th International Conference on Digital Signal Processing
    June 2020
    383 pages
    ISBN:9781450376877
    DOI:10.1145/3408127
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 10 September 2020

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    Author Tags

    1. Gaze estimation
    2. Iris center location
    3. Stereo imaging
    4. binocular cameras
    5. estimation of fixation points

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