ACM Home Page
Please provide us with feedback. Feedback
Removing excess topology from isosurfaces
Full text PdfPdf (1.33 MB)
Source ACM Transactions on Graphics (TOG) archive
Volume 23 ,  Issue 2  (April 2004) table of contents
Pages: 190 - 208  
Year of Publication: 2004
ISSN:0730-0301
Authors
Zoë Wood  Caltech, San Luis Obispo, CA
Hugues Hoppe  Microsoft Research, Redmond, WA
Mathieu Desbrun  University of Southern California, Los Angeles, CA
Peter Schröder  Caltech, Pasadena, CA
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 103,   Citation Count: 41
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/990002.990007
What is a DOI?

ABSTRACT

Many high-resolution surfaces are created through isosurface extraction from volumetric representations, obtained by 3D photography, CT, or MRI. Noise inherent in the acquisition process can lead to geometrical and topological errors. Reducing geometrical errors during reconstruction is well studied. However, isosurfaces often contain many topological errors in the form of tiny handles. These nearly invisible artifacts hinder subsequent operations like mesh simplification, remeshing, and parametrization. In this article we present a practical method for removing handles in an isosurface. Our algorithm makes an axis-aligned sweep through the volume to locate handles, compute their sizes, and selectively remove them. The algorithm is designed to facilitate out-of-core execution. It finds the handles by incrementally constructing and analyzing a Reeb graph. The size of a handle is measured by a short nonseparating cycle. Handles are removed robustly by modifying the volume rather than attempting "mesh surgery." Finally, the volumetric modifications are spatially localized to preserve geometrical detail. We demonstrate topology simplification on several complex models, and show its benefits for subsequent surface processing.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Aleksandrov, P. 1956. Combinatorial Topology. Vol. 1. Graylock Press.
 
2
 
3
 
4
Axen, U. and Edelsbrunner, H. 1998. Auditory morse analysis of triangulated manifolds. In Mathematical Visualization, H.-C. Hege and K. Polthier, Eds. Springer-Verlag, Berlin, Germany, 223--236.
 
5
 
6
 
7
 
8
9
 
10
Dey, T. K. and Schipper, H. 1995. A new technique to compute polygonal schema for 2-manifolds with applications to null-homotopy detection. Disc. Comput. Geom. 14, 93--110.
11
 
12
Edelsbrunner, H., Letscher, D., and Zomorodian, A. 2002. Topological persistence and simplification. Disc. Comput. Geom. 28, 511--533.
 
13
14
 
15
Francis, G. and Weeks, J. 1999. Conway's ZIP proof. Amer. Math. Monthly 106, 393--399.
 
16
17
18
 
19
 
20
Han, X., Xu, C., and Prince, J. L. 2001. A topology preserving deformable model using level sets. In Proceedings of the IEEE Computer Vision and Pattern Recognition. IEEE Computer Society Press, Los Alamitos, Calif., 765--770.
 
21
22
 
23
24
25
 
26
 
27
 
28
Kaufman, A. 1987. Scan-conversion of polygons. In Proceedings of Eurographics. 197--208.
 
29
 
30
31
 
32
33
34
 
35
36
 
37
Massey, W. 1967. Algebraic Topology: An Introduction. Harcourt, Brace & World, Inc., New York.
 
38
Milnor, J. 1963. Morse Theory. Princeton University Press, Princeton, N.J.
 
39
 
40
 
41
Reeb, G. 1946. Sur les points singuliers d'une forme de Pfaff complètement intégrable ou d'une fonction numérique. Comptes Rendus Acad. Sci. de Paris. 847--849.
42
 
43
Schröder, P. and Sweldens, W., Eds. 2001. Digital Geometry Processing. Course Notes. In ACM SIGGRAPH. ACM, New York.
 
44
Shattuck, D. W. and Leahy, R. M. 2001. Automated graph based analysis and correction of cortical volume topology. IEEE Trans. Med. Imag. 1167--1177.
 
45
 
46
47
48
 
49
 
50
Wyvill, B., McPheeters, C., and Wyvill, G. 1986. Data structure for soft objects. Vis. Comput. 2, 4, 227--234.
 
51

CITED BY  41

Collaborative Colleagues:
Zoë Wood: colleagues
Hugues Hoppe: colleagues
Mathieu Desbrun: colleagues
Peter Schröder: colleagues