Extracting Boundary Surface of Arbitrary Topology from Volumetric Datasets

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Date
2001
Authors
Duan, Ye
Qin, Hong
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents a novel, powerful reconstruction algorithm that can recover correct shape geometry as well as its unknown topology from arbitrarily complicated volumetric datasets. The algorithm starts from a simple seed model (of genus zero) that can be initialized automatically without user intervention. The deformable behavior of the model is then governed by a locally defined objective function associated with each vertex of the model. Through the numerical computation of function optimization, the algorithm can adaptively subdivide the model geometry, automatically detect self-collision of the model, properly modify its topology (because of the occurrence of self-collision), continuously evolve the model towards the object boundary, and reduce fitting error and improve fitting quality via global subdivision.
Description

        
@inproceedings{
:10.2312/VG/VG01/237-251
,
booktitle = {
Volume Graphics
},
editor = {
K. Mueller and A. Kaufman
},
title = {{
Extracting Boundary Surface of Arbitrary Topology from Volumetric Datasets
}},
author = {
Duan, Ye
 and 
Qin, Hong
},
year = {
2001
},
publisher = {
The Eurographics Association
},
ISSN = {
1727-8376
},
ISBN = {
3-211-83737-X
},
DOI = {
/10.2312/VG/VG01/237-251
}
}
Citation
URI
https://doi.org/10.2312/VG/VG01/237-251
Collections
VG01: Volume Graphics Workshop 2001