CSIOR: An ordered structured resampling of mesh surfaces

Claudio Tortorici; Mohamed Riahi; Stefano Berretti; Naoufel Werghi

doi:10.1007/978-3-030-54407-2_3

CSIOR: An ordered structured resampling of mesh surfaces

Claudio Tortorici, Mohamed Riahi, Stefano Berretti, Naoufel Werghi

University of Florence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Triangular mesh is one of the most popular 3D modalities which usage spans a wide variety of application in computer vision, computer graphics and multimedia. Raw mesh surfaces generated by 3D scanning devices often suffer from mesh irregularity and also lacks the implicit ordered structure that characterizes 2D images. Therefore they are not suitable to be processed as such, especially for applications requiring fine surface analysis tasks. In this paper, we propose CSIOR, a novel mesh regularization technique exhibiting novel capabilities including a quasi-equilateral triangle tessellation, and structured and ordered tessellation that can accommodate non-convex shaped surfaces, implicit generation of iso-geodesic contours and preservation of the geometric texture on the mesh surface. We evidence the superiority of our technique over current methods through a series of experiments performed on a variety of geometric textured surfaces.

Original language	British English
Title of host publication	Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers
Editors	Troy McDaniel, Stefano Berretti, Igor D.D. Curcio, Anup Basu
Publisher	Springer
Pages	28-41
Number of pages	14
ISBN (Print)	9783030544065
DOIs	https://doi.org/10.1007/978-3-030-54407-2_3
State	Published - 2020
Event	2nd International Conference on Smart Multimedia, ICSM 2019 - San Diego, United States Duration: 16 Dec 2019 → 18 Dec 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12015 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Smart Multimedia, ICSM 2019
Country/Territory	United States
City	San Diego
Period	16/12/19 → 18/12/19

Keywords

CSIOR
Mesh resampling
Ordered mesh
Shape analysis
Triangular mesh

Access to Document

10.1007/978-3-030-54407-2_3

Cite this

Tortorici, C., Riahi, M., Berretti, S., & Werghi, N. (2020). CSIOR: An ordered structured resampling of mesh surfaces. In T. McDaniel, S. Berretti, I. D. D. Curcio, & A. Basu (Eds.), Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers (pp. 28-41). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12015 LNCS). Springer. https://doi.org/10.1007/978-3-030-54407-2_3

Tortorici, Claudio ; Riahi, Mohamed ; Berretti, Stefano et al. / CSIOR : An ordered structured resampling of mesh surfaces. Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers. editor / Troy McDaniel ; Stefano Berretti ; Igor D.D. Curcio ; Anup Basu. Springer, 2020. pp. 28-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "CSIOR: An ordered structured resampling of mesh surfaces",

abstract = "Triangular mesh is one of the most popular 3D modalities which usage spans a wide variety of application in computer vision, computer graphics and multimedia. Raw mesh surfaces generated by 3D scanning devices often suffer from mesh irregularity and also lacks the implicit ordered structure that characterizes 2D images. Therefore they are not suitable to be processed as such, especially for applications requiring fine surface analysis tasks. In this paper, we propose CSIOR, a novel mesh regularization technique exhibiting novel capabilities including a quasi-equilateral triangle tessellation, and structured and ordered tessellation that can accommodate non-convex shaped surfaces, implicit generation of iso-geodesic contours and preservation of the geometric texture on the mesh surface. We evidence the superiority of our technique over current methods through a series of experiments performed on a variety of geometric textured surfaces.",

keywords = "CSIOR, Mesh resampling, Ordered mesh, Shape analysis, Triangular mesh",

author = "Claudio Tortorici and Mohamed Riahi and Stefano Berretti and Naoufel Werghi",

note = "Funding Information: Acknowledgment. This work is supported by a research fund from Cyber-Physical Systems Center (C2PS), Khalifa University, UAE. Funding Information: This work is supported by a research fund from Cyber-Physical Systems Center (C2PS), Khalifa University, UAE. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; 2nd International Conference on Smart Multimedia, ICSM 2019 ; Conference date: 16-12-2019 Through 18-12-2019",

year = "2020",

doi = "10.1007/978-3-030-54407-2_3",

language = "British English",

isbn = "9783030544065",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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}

Tortorici, C, Riahi, M, Berretti, S & Werghi, N 2020, CSIOR: An ordered structured resampling of mesh surfaces. in T McDaniel, S Berretti, IDD Curcio & A Basu (eds), Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12015 LNCS, Springer, pp. 28-41, 2nd International Conference on Smart Multimedia, ICSM 2019, San Diego, United States, 16/12/19. https://doi.org/10.1007/978-3-030-54407-2_3

CSIOR: An ordered structured resampling of mesh surfaces. / Tortorici, Claudio; Riahi, Mohamed; Berretti, Stefano et al.
Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers. ed. / Troy McDaniel; Stefano Berretti; Igor D.D. Curcio; Anup Basu. Springer, 2020. p. 28-41 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12015 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - CSIOR

T2 - 2nd International Conference on Smart Multimedia, ICSM 2019

AU - Tortorici, Claudio

AU - Riahi, Mohamed

AU - Berretti, Stefano

AU - Werghi, Naoufel

N1 - Funding Information: Acknowledgment. This work is supported by a research fund from Cyber-Physical Systems Center (C2PS), Khalifa University, UAE. Funding Information: This work is supported by a research fund from Cyber-Physical Systems Center (C2PS), Khalifa University, UAE. Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - Triangular mesh is one of the most popular 3D modalities which usage spans a wide variety of application in computer vision, computer graphics and multimedia. Raw mesh surfaces generated by 3D scanning devices often suffer from mesh irregularity and also lacks the implicit ordered structure that characterizes 2D images. Therefore they are not suitable to be processed as such, especially for applications requiring fine surface analysis tasks. In this paper, we propose CSIOR, a novel mesh regularization technique exhibiting novel capabilities including a quasi-equilateral triangle tessellation, and structured and ordered tessellation that can accommodate non-convex shaped surfaces, implicit generation of iso-geodesic contours and preservation of the geometric texture on the mesh surface. We evidence the superiority of our technique over current methods through a series of experiments performed on a variety of geometric textured surfaces.

AB - Triangular mesh is one of the most popular 3D modalities which usage spans a wide variety of application in computer vision, computer graphics and multimedia. Raw mesh surfaces generated by 3D scanning devices often suffer from mesh irregularity and also lacks the implicit ordered structure that characterizes 2D images. Therefore they are not suitable to be processed as such, especially for applications requiring fine surface analysis tasks. In this paper, we propose CSIOR, a novel mesh regularization technique exhibiting novel capabilities including a quasi-equilateral triangle tessellation, and structured and ordered tessellation that can accommodate non-convex shaped surfaces, implicit generation of iso-geodesic contours and preservation of the geometric texture on the mesh surface. We evidence the superiority of our technique over current methods through a series of experiments performed on a variety of geometric textured surfaces.

KW - CSIOR

KW - Mesh resampling

KW - Ordered mesh

KW - Shape analysis

KW - Triangular mesh

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DO - 10.1007/978-3-030-54407-2_3

M3 - Conference contribution

AN - SCOPUS:85089607666

SN - 9783030544065

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers

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A2 - Berretti, Stefano

A2 - Curcio, Igor D.D.

A2 - Basu, Anup

PB - Springer

Y2 - 16 December 2019 through 18 December 2019

ER -

Tortorici C, Riahi M, Berretti S, Werghi N. CSIOR: An ordered structured resampling of mesh surfaces. In McDaniel T, Berretti S, Curcio IDD, Basu A, editors, Smart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers. Springer. 2020. p. 28-41. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-54407-2_3

CSIOR: An ordered structured resampling of mesh surfaces

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Keywords

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