Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 0.699
JCR 5-Year IF: 0.674
Issues per year: 4
Current issue: Feb 2019
Next issue: May 2019
Avg review time: 80 days


Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

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


2,211,950 unique visits
Since November 1, 2009

No robots online now


SCImago Journal & Country Rank

SEARCH ENGINES - Google Pagerank


Anycast DNS Hosting

 Volume 19 (2019)
     »   Issue 1 / 2019
 Volume 18 (2018)
     »   Issue 4 / 2018
     »   Issue 3 / 2018
     »   Issue 2 / 2018
     »   Issue 1 / 2018
 Volume 17 (2017)
     »   Issue 4 / 2017
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
 Volume 16 (2016)
     »   Issue 4 / 2016
     »   Issue 3 / 2016
     »   Issue 2 / 2016
     »   Issue 1 / 2016
 Volume 15 (2015)
     »   Issue 4 / 2015
     »   Issue 3 / 2015
     »   Issue 2 / 2015
     »   Issue 1 / 2015
  View all issues  


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.

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.

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 »


  1/2015 - 16

3D Object Metamorphosis with Pseudo Metameshes

MOCANU, B. See more information about MOCANU, B. on SCOPUS See more information about MOCANU, B. on IEEExplore See more information about MOCANU, B. on Web of Science, TAPU, R. See more information about  TAPU, R. on SCOPUS See more information about  TAPU, R. on SCOPUS See more information about TAPU, R. on Web of Science, ZAHARIA, T. See more information about ZAHARIA, T. on SCOPUS See more information about ZAHARIA, T. on SCOPUS See more information about ZAHARIA, T. 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 (2,426 KB) | Citation | Downloads: 266 | Views: 1,928

Author keywords
3D mesh morphing, spherical parameterization, radial basis function, pseudo-supermesh

References keywords
graphics(8), mesh(7), morphing(6), siggraph(5), shape(4), meshes(4), interactive(4), deformation(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 115 - 122
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01016
Web of Science Accession Number: 000352158600016
SCOPUS ID: 84924762569

Quick view
Full text preview
In this paper we introduce a novel framework for 3D object metamorphosis, represented by closed triangular meshes. The systems returns a high quality transition sequence, smooth and gradual, that is visual pleasant and consistent to both source and target topologies. The method starts by parameterizing both the source and the target model to a common domain (the unit sphere). Then, the features selected from the two models are aligned by applying the CTPS C2a radial basis functions. We demonstrate how the selected approach can create valid warping by deforming the models embedded into the parametric domain. In the final stage, we propose and validate a novel algorithm to construct a pseudo-supermesh able to approximate both, the source and target 3D objects. By using the pseudo-supermesh we developed a morphing transition consistent with respect to both geometry and topology of the 3D models.

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

[1] T. Kanai, H. Suzuki, F. Kimura, "Three-dimensional geometric metamorphosis based on harmonic maps," The Visual Computer, vol. 14(4), pp. 166-176, 1998.
[CrossRef] [Web of Science Times Cited 51] [SCOPUS Times Cited 66]

[2] M. Eck, T. DeRose, T. Duchamp, H. Hoppe, M. Lounsbery, W. Stuetzle, "Multiresolution analysis of arbitrary meshes," Proc. SIGGRAPH, pp. 173-182, 1995.

[3] J. R. Kent, W. E. Carlson, R. E. Parent, "Shape transformation for polyhedral objects," Computer Graphics, SIGGRAPH Proceedings, vol.2, pp. 47-54, 1992.

[4] M. Alexa, "Merging polyhedral shapes with scattered features," The Visual Computer, vol. 16, pp. 26-37, 2000.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 21]

[5] N. Arad, D. Reisfeld, "Image Warping Using few Anchor Points and Radial Basis Functions," Computer Graphics Forum, vol.14, no.1, pp.23-29, 1995.

[6] C. H. Lin, T. Lee, "Metamorphosis of 3D polyhedral models using progressive connectivity transformations," IEEE Transaction on visualization and computer graphics, vol. 11(1), pp. 2-12, 2005.
[CrossRef] [SCOPUS Times Cited 39]

[7] H.Y. Wu, C. Pan, Q. Yang, S. Ma, "Consistent correspondence between arbitrary manifold surfaces, " In ICCV, pp. 1-8, 2007.
[CrossRef] [SCOPUS Times Cited 11]

[8] T. Athanasiadis, I. Fudos, C. Nikou, V. Stamati, "Feature-based 3D morphing based on geometrically constrained spherical parameterization," Computer Aided Geometry Description, vol. 29, pp. 2-17, January 2012.

[9] V. Stamati, I. Fudos, "A Feature-Based Approach to Re-engineering Objects of Freeform Design by Exploiting Point Cloud Morphology," In Proc. of SPM 2007: ACM Symposium on Solid and Physical Modeling, Beijing, China, pp. 347-353, June 2007.
[CrossRef] [SCOPUS Times Cited 13]

[10] B. Mocanu, T. Zaharia, "Direct Spherical Parameterization Based on Surface Curvature," Workshop on Digital Media and Digital Content Management (DMDCM) 2011, pp. 266-269, 15-16 May 2011.
[CrossRef] [SCOPUS Times Cited 1]

[11] R. Urtasun, M. Salzmann, P. Fua, "3D Morphing without user interaction," Eurographics Symposium on Geometry Processing 2004.

[12] T. Athanasiadis, I. Fudos, C. Nikou, V. Stamati, "Feature-based 3D morphing based on geometrically constrained sphere mapping optimization," 25th ACM Symposium on Applied Computing (SAC'10), Sierre, Switzerland, pp.1258-1265, 22-26 March 2010.
[CrossRef] [SCOPUS Times Cited 9]

[13] H. Hoppe, "Mesh Optimization," In Proc. ACM SIGGRAPH, pp. 19-26, 1993.
[CrossRef] 10.1145/166117.166119.

[14] M. Garland, P. S. Heckbert, „Surface Simplification Using Quadric Error Metrics," In 24th Annual Conference on Computer Graphics and Interactive, pp. 209-216, 1997.
[CrossRef] [SCOPUS Times Cited 118]

[15] J. P. Lewis, M. Cordner, N. Fong, "Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton-Driven Deformation," SIGGRAPH 2000 Proceedings of the 27th annual conference on Computer graphics and interactive techniques, no. 3, pp. 165-172, 2000.

[16] T. Ju, S. Schaefer, J. Warren, „Mean value coordinates for closed triangular meshes," ACM Trans. Graph., vol. 24, no. 3, pp. 561-566, 2005.

[17] O. Weber, O. Sorkine, Y. Lipman, C. Gotsman, "Context-Aware Skeletal Shape Deformation," Computer Graphics Forum vol. 26(3), pp. 265-274, 2007.

[18] D. Zorin, P. Schroder, W. Sweldens, „Interactive multiresolution mesh editing," In SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp. 259-268, New York, 1997.

[19] O. Sorkine, "State-of-The-Art Report: Laplacian Mesh Processing," Eurographics appeared in Computer Graphics Forum, vol. 25(4), 2006.

[20] A. Boer, M.S. Schoot, H. Bijl, "Mesh deformation based on radial basis function interpolation," Computers & Structures, vol. 85, pp. 784-795, 2007.
[CrossRef] [Web of Science Times Cited 223] [SCOPUS Times Cited 376]

[21] P. M. Knupp, "Algebraic Mesh Quality Metrics for Unstructured Initial Meshes," Finite Elements in Analysis and Design, vol.39, pp. 217-241, 2003.
[CrossRef] [Web of Science Times Cited 100] [SCOPUS Times Cited 142]

[22] Z. J. Zhu, M. Y. Pang, "Morphing 3D Mesh Models Based on Spherical Parameterization," International Conference on Multimedia Information Networking and Security, pp. 309-313, 2009.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 4]

[23] M. Alexa, "Local control for mesh morphing," Proceedings of Shape Modeling International, pp. 209-215, 2001.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 30]

[24] J. Hu, L. Liu, G. Wang, "Dual Laplacian morphing for triangular meshes," Computer Animation and Virtual Worlds, vol.18(4/5), pp. 271-277, 2007.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 24]

References Weight

Web of Science® Citations for all references: 425 TCR
SCOPUS® Citations for all references: 854 TCR

Web of Science® Average Citations per reference: 17 ACR
SCOPUS® Average Citations per reference: 34 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 2019-04-21 18:19 in 128 seconds.

Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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.

Copyright ©2001-2019
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.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.

Website loading speed and performance optimization powered by: