Eye-Tracker-Free Compensation for Metamorphopsia

Katsuhito Moritake, Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro, Xiaoyang Mao

研究成果: Conference contribution

抄録

Metamorphopsia is a symptom caused by abnormalities in the retina, and people with metamorphopsia experience distortions in their field of view. To compensate for this disorder, computer-based distortion assessment and compensation methods have been proposed. In the state-of-The-Art method, compensation is carried out by dynamically deforming the image with a manipulation map, which is bound to the symptom of an individual user with metamorphopsia, according to the user's gaze data captured by an eye tracker. However, this method suffers from the instability and inaccuracy of the eye tracker, which leads to a poor compensation effect. In this paper, we propose a novel method for metamorphopsia compensation without using an eye tracker. The proposed method generates a compensation image by simultaneously applying multiple manipulation maps to the input image. To evaluate the effectiveness of the proposed method, a preliminary subjective experiment using a reading task and involving 10 participants with normal vision was conducted. The evaluation results show that the proposed method can compensate for visual distortion during reading tasks.

本文言語English
ホスト出版物のタイトルProceedings - 2021 International Conference on Cyberworlds, CW 2021
編集者Alexei Sourin, Christophe Rosenberger, Olga Sourina
出版社Institute of Electrical and Electronics Engineers Inc.
ページ78-84
ページ数7
ISBN(電子版)9781665440653
DOI
出版ステータスPublished - 2021
イベント2021 International Conference on Cyberworlds, CW 2021 - Caen, France
継続期間: 2021 9月 282021 9月 30

出版物シリーズ

名前Proceedings - 2021 International Conference on Cyberworlds, CW 2021

Conference

Conference2021 International Conference on Cyberworlds, CW 2021
国/地域France
CityCaen
Period21/9/2821/9/30

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ビジョンおよびパターン認識
  • メディア記述
  • モデリングとシミュレーション

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