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JCR Impact Factor: 0.825
JCR 5-Year IF: 0.752
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Aug 2022
Next issue: Nov 2022
Avg review time: 77 days
Avg accept to publ: 48 days
APC: 300 EUR


PUBLISHER

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

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2021 is 2.5, the same as for 2020 but better than all our previous results.

2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

2021-Apr-15
Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

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  4/2015 - 14

A Service-oriented FPGA-based 3D Model Acquisition System

MACHIDON, O. M. See more information about MACHIDON, O. M. on SCOPUS See more information about MACHIDON, O. M. on IEEExplore See more information about MACHIDON, O. M. on Web of Science, OLARU, G. See more information about OLARU, G. on SCOPUS See more information about OLARU, G. on SCOPUS See more information about OLARU, G. on Web of Science
 
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Click to see author's profile in 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 (1,292 KB) | Citation | Downloads: 675 | Views: 2,204

Author keywords
computer vision, reconfigurable architectures, virtual prototyping, virtual reality, web services

References keywords
systems(5), link(5), image(5), scanning(4), scanner(4), cost(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2015-11-30
Volume 15, Issue 4, Year 2015, On page(s): 101 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.04014
Web of Science Accession Number: 000368499800013
SCOPUS ID: 84949978111

Abstract
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Full text preview
This paper proposes a non-contact, low cost 3D scanning solution using laser striping. The solution is composed of two main parts: the hardware setup - used for acquiring the object's 3D surface information, and the software part - that processes the information and obtains the 3D model representation of the object. We propose two major improvements over the traditional scanning solutions: the 3D information acquisition is based on a reconfigurable hardware platform - a Xilinx Spartan 6 FPGA - which adds flexibility and scalability to the scanning process, while the 3D model reconstruction is remotely available /as a Service/, by the means of a web interface that abstracts away the complexity of the underlying processes and improves the performance, while granting easy sharing between users. By separating data capture process from the 3D model reconstruction tasks the system gains in portability - a feature that is absent for most existing solutions. The service-oriented approach brings on a performance gain, since the computational intensive tasks are handled by dedicated servers and ease of use of the system, because the user does not have to bother managing and using the software tools locally.


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

[1] R. B. Catalan, E. I. Perez, B. Z. Perez. "Evaluation of 3D scanners to develop virtual reality applications." In Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007, pp. 551-556, IEEE.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 7]


[2] X. Ning, Y. Wang, "Object Extraction from Architecture Scenes through 3D Local Scanned Data Analysis," Advances in Electrical and Computer Engineering, vol.12, no.3, pp.73-78, 2012,
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[3] Z. Lv, Z. Zhang. "Build 3D laser scanner based on binocular stereo vision." In 2011 Fourth International Conference on Intelligent Computation Technology and Automation, vol. 1, pp. 600-603. 2011.
[CrossRef] [SCOPUS Times Cited 7]


[4] N. A. Borghese, G. Ferrigno, G. Baroni, A. Pedotti, S. Ferrari, R. Savare. "Autoscan: A flexible and portable 3D scanner" IEEE Comput. Graph. Appl. No.18 (1998), pp. 38-41.
[CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 50]


[5] C. Rocchini, P. Cignoni, C. Montani, P. Pingi, R. Scopigno. "A low cost 3D scanner based on structured light." In Computer Graphics Forum, vol. 20, no. 3, pp. 299-308. Blackwell Publishers Ltd, 2001.
[CrossRef] [SCOPUS Times Cited 220]


[6] J. Straub, S. Kerlin. "Development of a large, low-cost, instant 3D scanner". Technologies No. 2 (2014), pp. 75-95.
[CrossRef]


[7] D. Grivon, E. Vezzetii, M. G. Violante. "Development of an innovative low-cost MARG sensors alignment and distortion compensation methodology for 3D scanning application". Robot.Auton.Syst. No. 61 (2013), pp. 1710-1716.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 16]


[8] O. Wulf, B. Wagner, "Fast 3D scanning methods for laser measurement systems," in International Conference on Control Systems and Computer Science (CSCS14), 2003.

[9] CMOS Image Sensor with Image Signal Processing - HV7131GP datasheet. Hynix, 2003. [Online] Available: Temporary on-line reference link removed - see the PDF document

[10] MicroBlaze Processor Reference Guide Embedded Development Kit - EDK 14.1. Xilinx UG081, 2012. [Online] Available: Temporary on-line reference link removed - see the PDF document

[11] LogiCORE IP Multi-Port Memory Controller (MPMC) (v6.03.a) Product Specification - Xilinx 2011. [Online] Available: Temporary on-line reference link removed - see the PDF document

[12] B. Muralikrishna, G. L. Madhumati, H. Khan, K. G. Deepika, "Reconfigurable System-on-Chip design using FPGA," 2nd International Conference on Devices, Circuits and Systems (ICDCS), 2014.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 16]


[13] M. K. Birla, "FPGA Based Reconfigurable Platform for Complex Image Processing," IEEE International Conference on Electro/information Technology, pp.204,209, 2006.
[CrossRef] [SCOPUS Times Cited 21]


[14] IEEE 802.3-2012 - IEEE Standard for Ethernet (accessed 10.08.2014), [Online] Available: Temporary on-line reference link removed - see the PDF document

[15] N. Alachiotis, S. A. Berger, A. Stamatakis. "Efficient PC-FPGA communication over Gigabit Ethernet." IEEE 10th International Conference on Computer and Information Technology, (CIT), pp. 1727-1734, 2010.
[CrossRef] [SCOPUS Times Cited 41]


[16] B. B. Hall. "Beej's guide to network programming: using Internet Sockets." (2012). [Online] Available: Temporary on-line reference link removed - see the PDF document

[17] G. Bradski, A. Kaehler. Learning OpenCV: Computer vision with the OpenCV library. " O'Reilly Media, Inc.", 2008.

[18] F. A. Van Den Heuvel, "Object reconstruction from a single architectural image taken with an uncalibrated camera." Photogrammetrie Fernerkundung Geoinformation (2001): 247-260.

[19] Z. Wang, D. Zhang. "Progressive switching median filter for the removal of impulse noise from highly corrupted images." IEEE Transactions on Circuits and Systems II, 46, no. 1 (1999): 78-80.
[CrossRef] [Web of Science Times Cited 544] [SCOPUS Times Cited 837]


[20] R. T. Whitaker. "A level-set approach to 3D reconstruction from range data." International Journal of Computer Vision 29.3 (1998): 203-231.
[CrossRef] [Web of Science Times Cited 354] [SCOPUS Times Cited 427]


[21] T. P. Kersten, M. Lindstaedt. "Image-based low-cost systems for automatic 3D recording and modelling of archaeological finds and objects." In Progress in cultural heritage preservation, pp. 1-10. Springer Berlin Heidelberg, 2012.
[CrossRef] [SCOPUS Times Cited 112]


[22] M. D. Hansen. SOA Using Java Web Services. Pearson Education, 2007.

[23] B. Perry. Java Servlet & JSP Cookbook." O'Reilly Media, Inc.", 2004.

[24] W. Bohler, A. Marbs. "3D scanning instruments." In Proceedings of the CIPA WG 6 International Workshop on Scanning for Cultural Heritage Recording, Ziti, Thessaloniki, pp. 9-18. 2002.



References Weight

Web of Science® Citations for all references: 980 TCR
SCOPUS® Citations for all references: 1,757 TCR

Web of Science® Average Citations per reference: 39 ACR
SCOPUS® Average Citations per reference: 70 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 2022-11-28 05:22 in 145 seconds.




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


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