Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features

Fuente: arXiv
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Main Authors: Beguet, Florian, Lanquetin, Sandrine, Raffin, Romain
Format: Preprint
Published: 2024
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author Beguet, Florian
Lanquetin, Sandrine
Raffin, Romain
author_facet Beguet, Florian
Lanquetin, Sandrine
Raffin, Romain
contents This paper presents a new mesh segmentation method that integrates geometrical and topological features through a flexible Reeb graph representation. The algorithm consists of three phases: construction of the Reeb graph using the improved topological skeleton approach, topological simplification of the graph by cancelling critical points while preserving essential features, and generation of contiguous segments via an adaptive region-growth process that takes geometric and topological criteria into account. Operating with a computational complexity of O(n log(n)) for a mesh of n vertices, the method demonstrates both efficiency and scalability. An evaluation through case studies, including part-based decomposition with Shape Diameter Function and terrain analysis with Shape Index, validates the effectiveness of the method in completely different applications. The results establish this approach as a robust framework for advanced geometric analysis of meshes, connecting the geometric and topological features of shapes.
format Preprint
id arxiv_https___arxiv_org_abs_2412_05335
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features
Beguet, Florian
Lanquetin, Sandrine
Raffin, Romain
Graphics
Computer Vision and Pattern Recognition
This paper presents a new mesh segmentation method that integrates geometrical and topological features through a flexible Reeb graph representation. The algorithm consists of three phases: construction of the Reeb graph using the improved topological skeleton approach, topological simplification of the graph by cancelling critical points while preserving essential features, and generation of contiguous segments via an adaptive region-growth process that takes geometric and topological criteria into account. Operating with a computational complexity of O(n log(n)) for a mesh of n vertices, the method demonstrates both efficiency and scalability. An evaluation through case studies, including part-based decomposition with Shape Diameter Function and terrain analysis with Shape Index, validates the effectiveness of the method in completely different applications. The results establish this approach as a robust framework for advanced geometric analysis of meshes, connecting the geometric and topological features of shapes.
title Flexible Mesh Segmentation via Reeb Graph Representation of Geometrical and Topological Features
topic Graphics
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2412.05335