Position Detection For a Camera Pen Using LLAH and Dot Patterns
Language
English
Type
Proceedings of Japanese Conferences
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
Not reviewed
Date
March 2010
Research fields
Document Image Analysis
Key
Sperber2010_IEICEPRMU (id=1149)
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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