loading
Documents

Research.Publish.Connect.

Paper

Authors: Maximilian Söchting and Matthias Trapp

Affiliation: Hasso Plattner Institute, Faculty of Digital Engineering, University of Potsdam, Germany

ISBN: 978-989-758-402-2

Keyword(s): Eye-tracking, Image Abstraction, Image Processing, Artistic Image Stylization, Interactive Media.

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 con scious 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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.233.139

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Söchting, M. and Trapp, Matthias (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 - Volume 2: HUCAPP, ISBN 978-989-758-402-2, pages 25-34. DOI: 10.5220/0008964500250034

@conference{hucapp20,
author={Maximilian Söchting. and Trapp, Matthias},
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 - Volume 2: HUCAPP,},
year={2020},
pages={25-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008964500250034},
isbn={978-989-758-402-2},
}

TY - CONF

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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.