ACM Home Page
Please provide us with feedback. Feedback
A multiphase approach to efficient surface simplification
Full text PdfPdf (10.63 MB)
Source VISUALIZATION archive
Proceedings of the conference on Visualization '02 table of contents
Boston, Massachusetts
SESSION: Session P4: compression and simplification table of contents
Pages: 117 - 124  
Year of Publication: 2002
ISBN:0-7803-7498-3
Authors
Michael Garland  University of Illinois at Urbana-Champaign
Eric Shaffer  University of Illinois at Urbana-Champaign
Sponsors
ITCVG : IEEE Computer Society Technical Committee on Visualization and Graphics
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 19,   Citation Count: 11
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  

ABSTRACT

We present a new multiphase method for efficiently simplifying polygonal surface models of arbitrary size. It operates by combining an initial out-of-core uniform clustering phase with a subsequent in-core iterative edge contraction phase. These two phases are both driven by quadric error metrics, and quadrics are used to pass information about the original surface between phases. The result is a method that produces approximations of a quality comparable to quadric-based iterative edge contraction, but at a fraction of the cost in terms of running time and memory consumption.


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
P. Cignoni, C. Montani, and R. Scopigno. A comparison of mesh simplification algorithms. Computers & Graphics, 22(1):37-54, 1998.
 
2
Jihad El-Sana and Yi-Jen Chiang. External memory view-dependent simplification. Computer Graphics Forum, 19(3):139-150, August 2000.
 
3
Michael Garland. Multiresolution modeling: Survey & future opportunities. In State of the Art Report, pages 111-131. Eurographics, September 1999.
 
4
 
5
6
 
7
 
8
 
9
 
10
11
 
12
David Luebke, Jonathan Cohen, Martin Reddy, Amitabh Varshney, and Benjamin Watson. Advanced Issues in Level of Detail. Number 45 in SIGGRAPH 2001 Course Notes. ACM SIGGRAPH, August 2001.
 
13
 
14
 
15
 
16
Chris Prince. Progressive meshes for large models of arbitrary topology. Master's thesis, University of Washington, 2000.
 
17
Jarek Rossignac and Paul Borrel. Multi-resolution 3D approximations for rendering complex scenes. In B. Falcidieno and T. Kunii, editors, Modeling in Computer Graphics: Methods and Applications, pages 455-465, 1993.
 
18

CITED BY  11

Collaborative Colleagues:
Michael Garland: colleagues
Eric Shaffer: colleagues