ACM Home Page
Please provide us with feedback. Feedback
Topology preserving surface extraction using adaptive subdivision
Full text PdfPdf (325 KB)
Source ACM International Conference Proceeding Series; Vol. 71 archive
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing table of contents
Nice, France
SESSION: Session 8 table of contents
Pages: 235 - 244  
Year of Publication: 2004
ISBN ~ ISSN:1727-8384 , 3-905673-13-4
Authors
Gokul Varadhan  University of North Carolina, Chapel Hill
Shankar Krishnan  AT&T Labs - Research, Florham Park, New Jersey
TVN Sriram  University of North Carolina, Chapel Hill
Dinesh Manocha  University of North Carolina, Chapel Hill
Sponsor
Eurographics: Eurographics Association
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 55,   Citation Count: 10
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1057432.1057464
What is a DOI?

ABSTRACT

We address the problem of computing a topology preserving isosurface from a volumetric grid using Marching Cubes for geometry processing applications. We present a novel topology preserving subdivision algorithm to generate an adaptive volumetric grid. Our algorithm ensures that every grid cell satisfies two local geometric criteria: a complex cell criterion and a star-shaped criterion. We show that these two criteria are sufficient to ensure that the surface extracted from the grid using Marching Cubes has the same genus and connectedness as that of the exact isosurface. We use our subdivision algorithm for accurate boundary evaluation of CSG combinations of polyhedra and low degree algebraic primitives, translational motion planning, model simplification and remeshing. The running time of our algorithm varies between a few seconds for simple models composed of a few thousand triangles to tens of seconds for complex polyhedral models represented using hundreds of thousands of triangles.


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
 
2
 
3
{BMW00} Breen D., Mauch S., Whitaker R.: 3d scan conversion of csg models into distance, closest-point and color volumes. Proc. of Volume Graphics (2000), 135--158.
 
4
{CGMS00} Cignoni P., Ganovelli F., Montani C., Scopigno R.: Reconstruction of topologically correct and adaptive trilinear isosurfaces. Computers & Graphics 24, 3 (2000), 399--418.
5
 
6
 
7
 
8
9
10
11
 
12
 
13
 
14
 
15
 
16
{VKSM04a} Varadhan G., Krishnan S., Sriram T., Manocha D.: A simple algorithm for complete motion planning of translating polyhedral robots. Workshop on the Algorithmic Foundations of Robotics (2004).
 
17
{VKSM04b} Varadhan G., Krishnan S., Sriram T., Manocha D.: Topology Preserving Isosurface Extraction Using Adaptive Subdivision. UNC Technical Report, 2004.
18
 
19
{WHDS02} Wood Z., Hoppe H., Desbrun M., Schroder P.: Iso-surface Topology Simplication. Tech. rep., Microsoft Research, MSR-TR-2002-28, 2002.
20

CITED BY  10

Collaborative Colleagues:
Gokul Varadhan: colleagues
Shankar Krishnan: colleagues
TVN Sriram: colleagues
Dinesh Manocha: colleagues