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FACTS & FIGURES

JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: May 2018
Next issue: Aug 2018
Avg review time: 107 days


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

2018-Jun-27
Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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-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.

Read More »


    
 

  1/2008 - 12

Modeling Shapes for Pattern Recognition: A Simple Low-Cost Spline-based Approach

VATAVU, R. D. See more information about VATAVU, R. D. on SCOPUS See more information about VATAVU, R. D. on IEEExplore See more information about VATAVU, R. D. on Web of Science, PENTIUC, S. G. See more information about  PENTIUC, S. G. on SCOPUS See more information about  PENTIUC, S. G. on SCOPUS See more information about PENTIUC, S. G. on Web of Science, GRISONI, L. See more information about  GRISONI, L. on SCOPUS See more information about  GRISONI, L. on SCOPUS See more information about GRISONI, L. on Web of Science, CHAILLOU, C. See more information about CHAILLOU, C. on SCOPUS See more information about CHAILLOU, C. on SCOPUS See more information about CHAILLOU, C. on Web of Science
 
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 (709 KB) | Citation | Downloads: 677 | Views: 3,113

Author keywords
spline, cubic polynomial, pattern recognition, algorithms, shape modeling, curves, approximation error, Haussdorff distance

References keywords
splines(5)
No common words between the references section and the paper title.

About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 67 - 71
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01012
Web of Science Accession Number: 000259903500012
SCOPUS ID: 77955605589

Abstract
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Full text preview
We present a simple procedure for modeling shapes and trajectories of points using cubic polynomial splines. The procedure may prove useful for researchers working in the field of pattern recognition that are in the search of a simple functional representation for shapes and which are not particularly interested in diving into the hightheoretical aspects of more complex representations. The use of splines brings in a few advantages with regards to data dimensionality, speed and accuracy of processing, with minimal effort required for the implementation part. We describe several algorithms for data reduction, spline creation and query for which we provide pseudo code procedures in order to demonstrate the ease of implementation. We equally provide measurements on the approximation error and rate of data reduction.


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

[1] J. Hershberger, J. Snoeyink, "Speeding Up the Douglas-Peucker Line-Simplification Algorithm", Proceedings of the 5th Symposium on Data Handling, pp. 134-143 , 1992.

[2] Carl De Boor, "A Practical Guide to Splines", Springer, 2001.

[3] Phillip J. Barry and Ronald N. Goldman, "A recursive evaluation algorithm for a class of Catmull-Rom splines", SIGGRAPH '88: Proceedings of the 15th annual conference on Computer graphics and interactive techniques, pp. 199-204, ACM Press, New York, 1988.

[4] E. Catmull, R. Rom, D. Knuth, "A class of local interpolating splines", Computer Aided Geometric Design (Eds: R. E. Barnhill and R. F. Reisenfeld), pp. 317-326, Academic Press, New York, 1974.

[5] Michael Unser, "Splines and Wavelets: New Perspectives for Pattern Recognition", Pattern Recognition, pp. 244-248, LNCS 2781/2003.

[6] Sambhunath Biswas, Brian C. Lovell, "Bezier and Splines in Image Processing and Machine Vision", Springer, 2008.
[CrossRef]


[7] Daniel P. Huttenlocher, Klara Kedem, "Computing the minimum Hausdorff distance for point sets under translation", Proceedings of the sixth annual symposium on Computational geometry, pp. 340- 349, ACM Press, 1990.

[8] J.O. Wobbrock, A.D. Wilson, Y. Li, "Gestures without libraries, toolkits or training: A $1 recognizer for user interface prototypes", Proceedings of the ACM Symposium on User Interface Software and Technology (UIST '07). Newport, Rhode Island (October 7-10, 2007). New York: ACM Press, pp. 159-168.

[9] Radu-Daniel Vatavu, Stefan-Gheorghe Pentiuc, Christophe Chaillou, Laurent Grisoni, Samuel Degrande, Visual Recognition of Hand Postures for Interacting with Virtual Environments, Advances in Electrical and Computer Engineering, Volume 6 (13), Number 2(26), 2006, University „Stefan cel Mare" of Suceava, ISSN 1582-7445,pp. 55-58.

[10] Radu-Daniel Vatavu, Stefan Gheorghe Pentiuc, Applied Hands-On Interfaces: Enhancing Object Manipulation inside Virtual Environments, European Conference on the Use of Modern Information and Communication Technologies, ECUMICT 2008, Gent, Belgium, March 13-14, 2008.

[11] George Mahalu, Radu Pentiuc, Acquisition and Processing System for the Photometry Parameters of The Bright Objects, Advances in Electrical and Computer Engineering, Suceava, Romania, ISSN 1582-7445, No 1/2001, volume 1 (8), pp. 26-31

References Weight

Web of Science® Citations for all references: 0
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 0

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 2018-07-08 07:25 in 11 seconds.




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


All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

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