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http://dx.doi.org/10.9717/kmms.2017.20.6.882

Augmenting Text Document by Controlling Its IR-Reflectance  

Park, Hanhoon (Dept. of Electronic Engineering, Pukyong National University)
Moon, Kwang-Seok (Dept. of Electronic Engineering, Pukyong National University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.6, 2017 , pp. 882-892 More about this Journal
Abstract
Locally Likely Arrangement Hashing (LLAH) is a method that describes image features based on the geometry between their neighbors. Thus, it has been preferred to implement augmented reality on poorly-textured objects such as text documents. However, LLAH strongly requires that image features be detected with high repeatability and located at a distance from one another. To fulfill the requirement for text document, this paper proposes a method that facilitates the word detection in infrared (IR) range by adjusting the IR-reflectance of words. Specifically, the words are printed out with two different black inks: one is using the K(carbon black) ink only, the other is mixing the C(cyan), M(magenta), Y(yellow) inks. Since only the words printed out with the K ink is visible in IR range, a part of words are selected in advance to be used as features and printed out the K ink. The selected words can be robustly detected with high repeatability in IR range and this enables to implement augmented reality on text documents with high fidelity. The validity of the proposed method was verified through experiments.
Keywords
Text Document; Word Detection; CMYK-IR; LLAH; Augmented Reality;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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