CSIOR: An ordered structured resampling of mesh surfaces

Claudio Tortorici, Mohamed Riahi, Stefano Berretti, Naoufel Werghi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 languageBritish English
Title of host publicationSmart Multimedia - 2nd International Conference, ICSM 2019, Revised Selected Papers
EditorsTroy McDaniel, Stefano Berretti, Igor D.D. Curcio, Anup Basu
Number of pages14
ISBN (Print)9783030544065
StatePublished - 2020
Event2nd International Conference on Smart Multimedia, ICSM 2019 - San Diego, United States
Duration: 16 Dec 201918 Dec 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12015 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference2nd International Conference on Smart Multimedia, ICSM 2019
Country/TerritoryUnited States
CitySan Diego


  • Mesh resampling
  • Ordered mesh
  • Shape analysis
  • Triangular mesh


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