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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: 644266260
doi: 10.4316/AECE


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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
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  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
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Download PDF pdficon (2,426 KB) | Citation | Downloads: 171 | Views: 887

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

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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

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[CrossRef] [Web of Science Times Cited 47]

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[CrossRef] [Web of Science Times Cited 13] [SCOPUS Times Cited 14]

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[CrossRef] [SCOPUS Times Cited 37]

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[CrossRef] [SCOPUS Record]

[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 6]

[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.
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[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.

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[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 140] [SCOPUS Times Cited 236]

[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 71] [SCOPUS Times Cited 101]

[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 2]

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[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]

References Weight

Web of Science® Citations for all references: 303 TCR
SCOPUS® Citations for all references: 447 TCR

Web of Science® Average Citations per reference: 12 ACR
SCOPUS® Average Citations per reference: 18 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 2016-12-02 08:09 in 101 seconds.

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Faculty of Electrical Engineering and Computer Science
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