Automatic determination of text readability over textured backgrounds for augmented reality systems
Automatic determination of text readability over textured backgrounds for augmented reality systems
复制标题
自动确定增强现实系统纹理背景上的文本可读性
DOI：
10.1109/ismar.2004.22
复制
发表时间：
2004
期刊：
影响因子：
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通讯作者：
M. Tuceryan
中科院分区：
文献类型：
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作者：
A. Leykin;M. Tuceryan
本文描述了一种模式识别方法来确定增强现实系统中文本标签的可读性。在许多增强现实应用程序中，向用户显示信息的方法之一是在感兴趣的区域上放置文本标签。但是，如果这些信息放置在非常繁忙和纹理化的背景上，这可能会影响文本的可读性。这项工作的目的是确定定量描述这种文本可读或不可读的条件的方法。我们使用纹理属性和其他视觉特征来确定放置在特定背景上的文本是否可读。基于这些特征，建立了一个监督分类器，该分类器使用人类受试者对文本可读性的判断前收集的数据进行训练。使用一个相当小的训练集，大约400人对50种异质纹理进行评估，该系统能够实现超过85%的正确分类率。
This paper describes a pattern recognition approach to determine readability of text labels in augmented reality systems. In many augmented reality applications, one of the ways in which information is presented to the user is to place a text label over the area of interest. However, if this information is placed over very busy and textured backgrounds, this can affect the readability of the text. The goal of this work was to identify methods of quantitatively describing conditions under which such text would be readable or unreadable. We used texture properties and other visual features to determine if a text placed on a particular background would be readable or not. Based on these features, a supervised classifier was built that was trained using data collected front human subjects' judgment of text readability. Using a rather small training set of about 400 human evaluations over 50 heterogeneous textures the system is able to achieve a correct classification rate of over 85%.