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Detail of Publication

Text Language English
Authors Matthias Sperber, Martin Klinkigt, Koichi Kise, Masakazu Iwamura, Benjamin Adrian, Andreas Dengel
Title Position Detection For a Camera Pen Using LLAH and Dot Patterns
Journal IEICE Technical Report
Presentation number PRMU2009-318
Pages pp.501-506
Reviewed or not Not reviewed
Month & Year March 2010
Abstract In this report, we present a method of position detection for a low-cost camera-pen. Our method allows reconstruction of handwriting, as well as retrieval of the particular document that is being written onto. For this matter, we use a point pattern printed onto the document's background, which is indexed using Locally Likely Arangement Hashing. For position detection, the dot pattern is extracted from the camera image and then matchied to the hash table. Experimental results shows high retrieval accuracy (80.4%--100%) when the pattern is disturbed by the document's foreground only to a certain extent.
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