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Adaptive color rendering of maps for users with color vision deficiencies

机译:针对具有色觉缺陷的用户的地图的自适应彩色渲染

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A map is an information design object for which canonical colors for the most common elements are well established. For a CVD observer, it may be difficult to discriminate between such elements - for example, it may be hard to distinguish a red road from a green landscape on the basis of color alone. We address this problem through an adaptive color schema in which the conspicuity of elements in a map to the individual user is maximized. This paper outlines a method to perform adaptive color rendering of map information for users with color vision deficiencies. The palette selection method is based on a pseudo-color palette generation technique which constrains colors to those which lie on the boundary of a reference object color gamut. A user performs a color vision discrimination task, and based on the results of the test, a palette of colors is selected using the pseudo-color palette generation method. This ensures that the perceived difference between palette elements is high but which retains the canonical color of well-known elements as far as possible. We show examples of color palettes computed for a selection of normal and CVD observers, together with maps rendered using these palettes.
机译:地图是一种信息设计对象,对于它,最常见的元素的标准颜色都可以很好地建立。对于CVD观察者来说,可能很难区分这些元素-例如,可能仅凭颜色就很难区分红色道路和绿色风景。我们通过一种自适应颜色方案解决了这个问题,在该方案中,最大化了地图中各个用户的元素的醒目性。本文概述了一种为有色觉缺陷的用户执行地图信息的自适应彩色渲染的方法。调色板选择方法基于伪调色板生成技术,该伪调色板生成技术将颜色限制为位于参考对象色域边界上的颜色。用户执行颜色视觉辨别任务,并且基于测试结果,使用伪调色板生成方法选择调色板。这确保了调色板元素之间的感知差异很大,但尽可能保留了已知元素的规范颜色。我们将显示为选择正常和CVD观察者而计算出的调色板示例,以及使用这些调色板渲染的地图。

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