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Related Experiment Video

Updated: Sep 16, 2025

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Augmented Vision Systems: Paradigms and Applications.

Cristian Rendon-Cardona, Marie-Anne Burcklen, Richard Legras

IEEE Transactions on Visualization and Computer Graphics

|July 9, 2025

Summary

This summary is machine-generated.

Augmented Vision (AV) systems enhance sight beyond glasses. This review categorizes AV approaches and finds a research gap in analyzing the human visual system, particularly accommodation, during device use.

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Area of Science:

Optometry
Human-Computer Interaction
Biomedical Engineering

Background:

Augmented Reality (AR) has evolved into public applications, leading to Augmented Vision (AV) systems.
AV aims to enhance human vision beyond conventional methods like eyeglasses or contact lenses.
Understanding AV paradigms is crucial for future research and development.

Purpose of the Study:

To compare and categorize AV systems based on their vision enhancement paradigms.
To assess the extent to which human visual system (HVS) analysis is integrated into AV system evaluations.
To guide future researchers in positioning their work within the AV field.

Main Methods:

Systematic literature review of Scopus, Web of Science, and PubMed databases until February 26, 2025.
PRISMA statement guidelines followed for reduced bias risk.
LLM-assisted abstract screening followed by in-depth article assessment, selecting 113 of 469 articles.

Main Results:

AV systems were categorized into three main paradigms: adding light, modifying light fields, and intersecting approaches.
Key application areas identified include task-specific enhancements, vision correction, and visual perception improvement.
Task-specific applications are the most prevalent among reviewed systems.

Conclusions:

A significant gap exists in the literature regarding the analysis of the human visual system, specifically accommodation, during AV device use.
Further research should focus on integrating HVS measurements to better understand AV system impact.
This review provides a framework for categorizing AV systems and identifying future research directions.