TY - GEN
T1 - Eye-Tracker-Free Compensation for Metamorphopsia
AU - Moritake, Katsuhito
AU - Zhu, Zhenyang
AU - Toyoura, Masahiro
AU - Go, Kentaro
AU - Kashiwagi, Kenji
AU - Fujishiro, Issei
AU - Mao, Xiaoyang
N1 - Funding Information:
ACNOWLEDGMENT We thank the volunteers who took part int the experiment of this study. This work is supported by JSPS Grants-in-Aid for Scientific Research (Grant Nos. 17H00738, 19H05472, and 20J15406).
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - compensation image
KW - distortion map
KW - eye taracker
KW - manipulation map
KW - metamorphopsia
KW - preceptual span
UR - http://www.scopus.com/inward/record.url?scp=85123373829&partnerID=8YFLogxK
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U2 - 10.1109/CW52790.2021.00019
DO - 10.1109/CW52790.2021.00019
M3 - Conference contribution
AN - SCOPUS:85123373829
T3 - Proceedings - 2021 International Conference on Cyberworlds, CW 2021
SP - 78
EP - 84
BT - Proceedings - 2021 International Conference on Cyberworlds, CW 2021
A2 - Sourin, Alexei
A2 - Rosenberger, Christophe
A2 - Sourina, Olga
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Cyberworlds, CW 2021
Y2 - 28 September 2021 through 30 September 2021
ER -