Perception Enhancement for Bionic Vision - Preliminary Study on Object Classification with Subretinal Implants

Johannes Steffen, Jonathan Napp, Stefan Pollmann, Klaus Tönnies

Abstract

The restored vision by using subretinal implants of patients suffering from a loss of photoreceptors, e.g., in retinitis pigmentosa and age-related macular degeneration, is, compared to healthy subjects, very limited. Therefore, we investigated, whether it is possible to enhance the perception of such patients by transforming the input images in a systematic manner. To this end, we propose a new image transformation network that is capable to learn plausible image transformations in an end-to-end fashion in order to enhance the perception of (virtual) patients with simulated subretinal implants. As a proof of concept, we test our method on an object classification task with three classes. Our results are promising. Compared to a baseline model, the overall object classification accuracy increased significantly from 67:4% to 81:1%. Furthermore, we discuss implications and limitations of our proof of concept and outline aspects of our work that can be improved and need to be subject of further research.

References

Download


Paper Citation


in Harvard Style

Steffen J., Napp J., Pollmann S. and Tönnies K. (2018). Perception Enhancement for Bionic Vision - Preliminary Study on Object Classification with Subretinal Implants.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 169-177. DOI: 10.5220/0006648901690177


in Bibtex Style

@conference{icpram18,
author={Johannes Steffen and Jonathan Napp and Stefan Pollmann and Klaus Tönnies},
title={Perception Enhancement for Bionic Vision - Preliminary Study on Object Classification with Subretinal Implants},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={169-177},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006648901690177},
isbn={978-989-758-276-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Perception Enhancement for Bionic Vision - Preliminary Study on Object Classification with Subretinal Implants
SN - 978-989-758-276-9
AU - Steffen J.
AU - Napp J.
AU - Pollmann S.
AU - Tönnies K.
PY - 2018
SP - 169
EP - 177
DO - 10.5220/0006648901690177