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Volumn 2, Issue 4, 2006, Pages 453-471

Analysing fundamental properties of marker-based vision system designs

Author keywords

Computer vision; Fiducial tag design

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; COMPUTER SOFTWARE; DATA PROCESSING; IMAGE PROCESSING; PARAMETER ESTIMATION; REAL TIME SYSTEMS;

EID: 33749652532     PISSN: 15741192     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pmcj.2006.07.006     Document Type: Article
Times cited : (16)

References (19)
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    • M. Fiala, ARTag revision 1, a fiducial marker system using digital techniques, Tech. Rep. NRC 47419/ERB-1117, National Research Council Canada, 2004
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  • 10
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    • L. Naimark, E. Foxlin, Circular data matrix fiducial system and robust image processing for a wearable vision-inertial self-tracker, in: IEEE International Symposium on Mixed and Augmented Reality, 2002, pp. 27-36
  • 11
    • 84949871080 scopus 로고    scopus 로고
    • C.B. Owen, F. Xiao, P. Middlin, What is the best fiducial? in: The First IEEE International Augmented Reality Toolkit Workshop, 2002, pp. 98-105
  • 12
    • 85024203548 scopus 로고    scopus 로고
    • J. Rekimoto, Y. Ayatsuka, CyberCode: Designing augmented reality environments with visual tags, in: Proceedings of DARE 2000 on Designing Augmented Reality Environments, 2000, pp. 1-10
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    • A.C. Rice, A.R. Beresford, R.K. Harle, Cantag: an open source software toolkit for designing and deploying marker-based vision systems, in: Fourth Annual IEEE International Conference on Pervasive Computer and Communications, PerCom, 2006
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    • A. Rice, C. Cain, J. Fawcett, Dependable coding for fiducial tags, in: Proceedings of the 2nd Ubiquitous Computing Symposium, 2004, pp. 155-163
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.