Through BrokenEyes: How Eye Disorders Impact Face Detection?

• URL: http://arxiv.org/abs/2602.23212v1
• Date: Thu, 26 Feb 2026 16:56:51 GMT
• Title: Through BrokenEyes: How Eye Disorders Impact Face Detection?
• Authors: Prottay Kumar Adhikary,
• Abstract summary: Computational framework was developed using BrokenEyes system to simulate five common eye disorders.<n>Age-related macular degeneration, cataract, glaucoma, refractive errors, and diabetic retinopathy.<n>Models trained under normal and disorder-specific conditions revealed critical disruptions in feature maps.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Vision disorders significantly impact millions of lives, altering how visual information is processed and perceived. In this work, a computational framework was developed using the BrokenEyes system to simulate five common eye disorders: Age-related macular degeneration, cataract, glaucoma, refractive errors, and diabetic retinopathy and analyze their effects on neural-like feature representations in deep learning models. Leveraging a combination of human and non-human datasets, models trained under normal and disorder-specific conditions revealed critical disruptions in feature maps, particularly for cataract and glaucoma, which align with known neural processing challenges in these conditions. Evaluation metrics such as activation energy and cosine similarity quantified the severity of these distortions, providing insights into the interplay between degraded visual inputs and learned representations.

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