Controlling Image-Stylization Techniques using Eye Tracking

Maximilian Söchting, Matthias Trapp

2020

Abstract

With the spread of smart phones capable of taking high-resolution photos and the development of high-speed mobile data infrastructure, digital visual media is becoming one of the most important forms of modern communication. With this development, however, also comes a devaluation of images as a media form with the focus becoming the frequency at which visual content is generated instead of the quality of the content. In this work, an interactive system using image-abstraction techniques and an eye tracking sensor is presented, which allows users to experience diverting and dynamic artworks that react to their eye movement. The underlying modular architecture enables a variety of different interaction techniques that share common design principles, making the interface as intuitive as possible. The resulting experience allows users to experience a game-like interaction in which they aim for a reward, the artwork, while being held under constraints, e.g., not blinking. The conscious eye movements that are required by some interaction techniques hint an interesting, possible future extension for this work into the field of relaxation exercises and concentration training.

Paper Citation

in Harvard Style

Söchting M. and Trapp M. (2020). Controlling Image-Stylization Techniques using Eye Tracking. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP; ISBN 978-989-758-402-2, SciTePress, pages 25-34. DOI: 10.5220/0008964500250034

in Bibtex Style

@conference{hucapp20,
author={Maximilian Söchting and Matthias Trapp},
title={Controlling Image-Stylization Techniques using Eye Tracking},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP},
year={2020},
pages={25-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008964500250034},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 2: HUCAPP
TI - Controlling Image-Stylization Techniques using Eye Tracking
SN - 978-989-758-402-2
AU - Söchting M.
AU - Trapp M.
PY - 2020
SP - 25
EP - 34
DO - 10.5220/0008964500250034
PB - SciTePress