Lai, Yukun ![]() ![]() |
Abstract
Segmenting meshes into natural regions is useful for model understanding and many practical applications. In this paper, we present a novel, automatic algorithm for segmenting meshes into meaningful pieces. Our approach is a clustering-based top-down hierarchical segmentation algorithm. We extend recent work on feature sensitive isotropic remeshing to generate a mesh hierarchy especially suitable for segmentation of large models with regions at multiple scales. Using integral invariants for estimation of local characteristics, our method is robust and efficient. Moreover, statistical quantities can be incorporated, allowing our approach to segment regions with different geometric characteristics or textures.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Uncontrolled Keywords: | Mesh processing ; shape segmentation ; algorithms |
Additional Information: | Copyright © 2006 by the Association for Computing Machinery, Inc. Record has been EMAIL checked |
Publisher: | Association for Computing Machinery |
ISBN: | 1595933581 |
Related URLs: | |
Last Modified: | 17 Oct 2022 09:41 |
URI: | https://orca.cardiff.ac.uk/id/eprint/5213 |
Citation Data
Cited 56 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |