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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
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Next issue: Aug 2017
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  2/2015 - 8

Extending the Tracking Distance of Fiducial Markers for Large Indoor Augmented Reality Applications

RABBI, I. See more information about RABBI, I. on SCOPUS See more information about RABBI, I. on IEEExplore See more information about RABBI, I. on Web of Science, ULLAH, S. See more information about ULLAH, S. on SCOPUS See more information about ULLAH, S. on SCOPUS See more information about ULLAH, S. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (915 KB) | Citation | Downloads: 207 | Views: 1,041

Author keywords
computer graphics, human computer interaction, pattern recognition, pattern matching, object detection

References keywords
reality(17), augmented(11), marker(8), virtual(7), tracking(7), applications(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-05-31
Volume 15, Issue 2, Year 2015, On page(s): 59 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.02008
Web of Science Accession Number: 000356808900008
SCOPUS ID: 84979834518

Abstract
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Full text preview
Marker-based tracking systems provide fast, accurate and real-time tracking solution for controlled indoor augmented reality applications. Due to the short tracking distance of marker-based technique, this approach is rarely used in large indoor augmented reality applications. This paper presents the design and implementation of a new layered marker that extends the tracking distance to large environment. A step by step procedure is given to design a layered marker for any large indoor environment. The tracking method of the designed marker is presented for accurate results in a specific environment. The method of designing and tracking layered marker is demonstrated using a standard toolkit framework. The results produced while evaluating the layered marker reveal that this marker extends the tracking distance to large indoor augmented reality applications.


References | Cited By  «-- Click to see who has cited this paper

[1] S. Siltanen. "Theory and Applications of Marker-Based Augmented Reality". 2012.

[2] P. Milgram, D. Drascic, J. Julius, Grodski, A. Restogi, S. Zhai, C. Zhou, "Merging Real and Virtual Worlds," Proceedings of IMAGINA '95 (Monte Carlo), pp. 218-230, 1995.

[3] P. Milgram, H. Takemura, A. Utsumi, F. Kishino, "Augmented reality: a class of displays on the reality-virtuality continuum," pp. 282-292, 1995.,
[CrossRef]


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[CrossRef] [Web of Science Times Cited 65]


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[CrossRef] [SCOPUS Times Cited 319]


[7] H. Kato, M. Billinghurst, I. Poupyrev, K. Imamoto, and K. Tachibana, "Virtual object manipulation on a table-top AR environment," presented at the IEEE and ACM International Symposium on Augmented Reality, 2000.

[8] M. Fiala, "Comparing ARTag and ARToolkit Plus fiducial marker systems," in IEEE International Workshop on Haptic Audio Visual Environments and their Applications, 2005.,
[CrossRef] [SCOPUS Times Cited 25]


[9] M. Fiala, "ARTag, a fiducial marker system using digital techniques," presented at the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'05, 2005.,
[CrossRef] [SCOPUS Times Cited 361]


[10] ALVAR. "ALVAR - A Library for Virtual and Augmented Reality", Available: www.vtt.fi/multimedia/alvar.html January 16, 2013.

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[CrossRef]


[12] Y. Uematsu, H. Saito, "Improvement of accuracy for 2D marker-based tracking using particle filter," in 17th International Conference on Artificial Reality and Telexistence, pp. 183-189, 2007.,
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 15]


[13] M. Maidi, J.-Y. Didier, F. Ababsa, M. Mallem, "A performance study for camera pose estimation using visual marker based tracking," Machine Vision and Applications, vol. 21, pp. 365-376, 2010.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 19]


[14] G. Bishop, G. Welch, "An Introduction to the Kalman Filter," in ACM SIGGRAPH '01, 2001.

[15] M. Dhome, M. Richetin, J. T. Lapreste, G. Rives, "Determination of the attitude of 3D objects from a single perspective view," IEEE Transactions on Pattern Analysis and Machine Intelligence., vol. 11, pp. 1265-1278, 1989.,
[CrossRef] [Web of Science Times Cited 194] [SCOPUS Times Cited 277]


[16] J. Seo, J. Shim, J. Choi, J. Park, T.-d. Han, "Enhancing marker-based AR technology," in Virtual and Mixed Reality - New Trends. vol. 6773, R. Shumaker, Ed., ed: Springer Berlin Heidelberg, pp. 97-104, 2011.,
[CrossRef] [SCOPUS Times Cited 6]


[17] I. Rabbi, S. Ullah, S. U. Rahman, A. Alam, "Extending the functionality of ARToolKit to semi-controlled/uncontrolled environment," INFORMATION, vol. 17, pp. 2823-2832, 2014.

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[CrossRef] [SCOPUS Times Cited 1]


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[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 4]




References Weight

Web of Science® Citations for all references: 274 TCR
SCOPUS® Citations for all references: 1,045 TCR

Web of Science® Average Citations per reference: 13 ACR
SCOPUS® Average Citations per reference: 50 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-08-17 19:39 in 88 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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