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VRCAI
2004
ACM

Determining text readability over textured backgrounds in augmented reality systems

14 years 3 months ago
Determining text readability over textured backgrounds in augmented reality systems
This paper concerns the application of pattern classification techniques to the domain of augmented reality. 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 predict 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 from human subjects judgement 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%. CR Categories: I...
Alex Leykin, Mihran Tuceryan
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where VRCAI
Authors Alex Leykin, Mihran Tuceryan
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