Title :
Random dot markers
Author :
Uchiyama, Hideaki ; Saito, Hideo
Author_Institution :
Keio Univ., Hiyoshi, Japan
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;
Conference_Titel :
Virtual Reality Conference (VR), 2011 IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0039-2
Electronic_ISBN :
1087-8270
DOI :
10.1109/VR.2011.5759433