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Evaluating the Visibility of Architectural Features for People with Low Vision – A Quantitative Approach
LEUKOS ( IF 3.6 ) Pub Date : 2021-04-28 , DOI: 10.1080/15502724.2021.1890115
William B Thompson 1 , Robert A Shakespeare 2 , Siyun Liu 3 , Sarah H Creem-Regehr 4 , Daniel J Kersten 3 , Gordon E Legge 3
Affiliation  

ABSTRACT

Most people with low vision rely on their remaining functional vision for mobility. Our goal is to provide tools to help design architectural spaces in which safe and effective mobility is possible by those with low vision – spaces that we refer to as visually accessible. We describe an approach that starts with a 3D CAD model of a planned space and produces labeled images indicating whether or not structures that are potential mobility hazards are visible at a particular level of low vision. There are two main parts to the analysis. The first, previously described, represents low-vision status by filtering a calibrated luminance image generated from the CAD model and associated lighting and materials information to produce a new image with unseen detail removed. The second part, described in this paper, uses both these filtered images and information about the geometry of the space obtained from the CAD model and related lighting and surface material specifications to produce a quantitative estimate of the likelihood of particular hazards being visible. We provide examples of the workflow required, a discussion of the novelty and implications of the approach, and a short discussion of needed future work.



中文翻译:

评估低视力人群建筑特征的可见性——一种定量方法

摘要

大多数视力低下的人依靠他们剩余的功能性视力来行动。我们的目标是提供工具来帮助设计建筑空间,让那些视力不佳的人可以安全有效地移动——我们称之为视觉无障碍的空间. 我们描述了一种方法,该方法从规划空间的 3D CAD 模型开始,并生成标记图像,指示在特定的低视力水平下是否可见具有潜在移动危险的结构。分析有两个主要部分。第一个,如前所述,通过过滤从 CAD 模型生成的校准亮度图像以及相关的照明和材料信息来表示低视力状态,以生成去除了看不见的细节的新图像。第二部分,如本文所述,使用这些过滤后的图像和从 CAD 模型以及相关照明和表面材料规格中获得的空间几何信息,对特定危险可见的可能性进行定量估计。我们提供所需工作流程的示例,

更新日期:2021-04-28
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