ReMESH: An Interactive Environment to Edit and Repair Triangle Meshes

Attene, Marco; Falcidieno, Bianca

doi:10.1109/smi.2006.29

Cited by 88 publications

(65 citation statements)

References 18 publications

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“…For surface-simplification approach, the initial mesh and the mesh after re-sampling may contain various topological deficiencies, such as isolated vertices -vertices that are not contained by any surface element, duplicated trianglesmultiple triangles that shares the same vertices, and nonmanifold vertices [5]. These deficiencies will become significant difficulties to proceed further with tetrahedral mesh generation, therefore, it is important to remove these before the 3D element population.…”

Section: Surface Mesh Repairingmentioning

confidence: 99%

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Tetrahedral mesh generation from volumetric binary and grayscale images

Fang

Boas

2009

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

299

135

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We report a general purpose mesh generator for creating finite-element surface or volumetric mesh from 3D binary or gray-scale medical images. This toolbox incorporates a number of existing free mesh processing utilities and enables researchers to perform a range of mesh processing tasks for image-based mesh generation, including raw image processing, surface mesh extraction, surface re-sampling, and multi-scale/adaptive tetrahedral mesh generation. We also implemented robust algorithms for meshing opensurfaces and sub-region labeling. Atomic meshing utilities for each processing step can be accessed with simple interfaces, which can be streamlined or executed independently. The toolbox is compatible with Matlab or GNU Octave. We demonstrate the applications of this toolbox for meshing a range of challenging geometries including complex vessel network, human brain and breast.

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Section: Surface Mesh Repairingmentioning

confidence: 99%

“…An external tool, build on a free library, JMeshLib [5], is used to find the non-manifold vertices and repair them by replication. This mesh checkand-repair procedure is called before and after the mesh resampling step.…”

Section: Surface Mesh Repairingmentioning

confidence: 99%

Tetrahedral mesh generation from volumetric binary and grayscale images

Fang

Boas

2009

2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

299

135

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“…almost 25% of the computed value, we tried other methods of mesh simplification, but this time taking the best 12G8 model as the primary source. Mesh manipulations were performed using two open-source programs: ReMESH 2.0 (Attene & Falcidieno 2006) and MeshLab 1.2 (Cignoni 2008).…”

Section: Simplified Meshesmentioning

confidence: 99%

The YORP effect on 25 143 Itokawa

Breiter

Bartczak

Czekaj

et al. 2009

A&A

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Context. The asteroid 25143 Itokawa is one of the candidates for the detection of the Yarkovsky-O'Keefe-Radzievskii-Paddack (YORP) effect in the rotation period. Previous studies were carried out up to the 196 608 facets triangulation model and were not able to provide a good theoretical estimate of this effect, raising questions about the influence of the mesh resolution and the centre of mass location on the evolution the rotation period. Aims. The YORP effect on Itokawa is computed for different topography models up to the highest resolution Gaskell mesh of 3 145 728 triangular faces in an attempt to find the best possible YORP estimate. Other, lower resolution models are also studied and the question of the dependence of the rotation period drift on the density distribution inhomogeneities is reexamined. A comparison is made with 433 Eros models possessing a similar resolution. Methods. The Rubincam approximation (zero conductivity) is assumed in the numerical simulation of the YORP effect in rotation period. The mean thermal radiation torques are summed over triangular facets assuming Keplerian heliocentric motion and uniform rotation around a body-fixed axis.Results. There is no evidence of YORP convergence in Gaskell model family. Differently simplified meshes may converge quickly to their parent models, but this does not prove the quality of YORP computed from the latter. We confirm the high sensitivity of the YORP effect to the fine details of the surface for 25 143 Itokawa and 433 Eros. The sensitivity of the Itokawa YORP to the centre of mass shift is weaker than in earlier works, but instead the results prove to be sensitive to the spin axis orientation in the body frame. Conclusions. Either the sensitivity of the YORP effect is a physical phenomenon and all present predictions are questionable, or the present thermal models are too simplified.

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“…Our method requires as input a uniformly sampled manifold mesh. Therefore, as a preprocessing step, we resample the meshes uniformly using ReMesh [1]. Since most models do not consist of a single mesh, we assemble them into a single manifold mesh.…”

Section: Methodsmentioning

confidence: 99%

Characterization of Partial Intrinsic Symmetries

Shehu

Brunton

Wuhrer

et al. 2015

Computer Vision - ECCV 2014 Workshops

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Abstract. We present a mathematical framework and algorithm for characterizing and extracting partial intrinsic symmetries of surfaces, which is a fundamental building block for many modern geometry processing algorithms. Our goal is to compute all "significant" symmetry information of the shape, which we define as r-symmetries, i.e., we report all isometric self-maps within subsets of the shape that contain at least an intrinsic circle or radius r. By specifying r, the user has direct control over the scale at which symmetry should be detected. Unlike previous techniques, we do not rely on feature points, voting or probabilistic schemes. Rather than that, we bound computational efforts by splitting our algorithm into two phases. The first detects infinitesimal r-symmetries directly using a local differential analysis, and the second performs direct matching for the remaining discrete symmetries. We show that our algorithm can successfully characterize and extract intrinsic symmetries from a number of example shapes.

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ReMESH: An Interactive Environment to Edit and Repair Triangle Meshes

Cited by 88 publications

References 18 publications

Tetrahedral mesh generation from volumetric binary and grayscale images

Tetrahedral mesh generation from volumetric binary and grayscale images

The YORP effect on 25 143 Itokawa

Characterization of Partial Intrinsic Symmetries

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