Extracting Boundary Surface of Arbitrary Topology from Volumetric Datasets

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Date
2001
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