DocumentCode :
3027719
Title :
Random dot markers
Author :
Uchiyama, Hideaki ; Saito, Hideo
Author_Institution :
Keio Univ., Hiyoshi, Japan
fYear :
2011
fDate :
19-23 March 2011
Firstpage :
35
Lastpage :
38
Abstract :
This paper presents a novel approach for detecting and tracking markers with randomly scattered dots for augmented reality applications. Compared with traditional markers with square pattern, our random dot markers have several significant advantages for flexible marker design, robustness against occlusion and user interaction. The retrieval and tracking of these markers are based on geometric feature based keypoint matching and tracking. We experimentally demonstrate that the discriminative ability of forty random dots per marker is applicable for retrieving up to one thousand markers.
Keywords :
augmented reality; feature extraction; human computer interaction; image retrieval; pattern matching; user interfaces; augmented reality; flexible marker design; geometric feature; keypoint matching; keypoint tracking; marker retrieval; occlusion; random dot markers; robustness; square pattern; user interaction; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Virtual Reality Conference (VR), 2011 IEEE
Conference_Location :
Singapore
ISSN :
1087-8270
Print_ISBN :
978-1-4577-0039-2
Electronic_ISBN :
1087-8270
Type :
conf
DOI :
10.1109/VR.2011.5759433
Filename :
5759433
Link To Document :
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