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Piecewise smooth surface reconstruction
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Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 21st annual conference on Computer graphics and interactive techniques table of contents
Pages: 295 - 302  
Year of Publication: 1994
ISBN:0-89791-667-0
Authors
Hugues Hoppe  University of Washington, Seattle, WA and Department of Computer Science and Engineering, FR-35
Tony DeRose  University of Washington, Seattle, WA and Department of Computer Science and Engineering, FR-35
Tom Duchamp  University of Washington, Seattle, WA and Department of Mathematics, GN-50
Mark Halstead  University of Washington, Seattle, WA and Apple Computer
Hubert Jin  University of Washington, Seattle, WA and Department of Statistics, GN-22
John McDonald  University of Washington, Seattle, WA and Department of Statistics, GN-22
Jean Schweitzer  University of Washington, Seattle, WA and Department of Computer Science and Engineering, FR-35
Werner Stuetzle  University of Washington, Seattle, WA and Department of Statistics, GN-22
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a general method for automatic reconstruction of accurate, concise, piecewise smooth surface models from scattered range data. The method can be used in a variety of applications such as reverse engineering—the automatic generation of CAD models from physical objects. Novel aspects of the method are its ability to model surfaces of arbitrary topological type and to recover sharp features such as creases and corners. The method has proven to be effective, as demonstrated by a number of examples using both simulated and real data.A key ingredient in the method, and a principal contribution of this paper, is the introduction of a new class of piecewise smooth surface representations based on subdivision. These surfaces have a number of properties that make them ideal for use in surface reconstruction: they are simple to implement, they can model sharp features concisely, and they can be fit to scattered range data using an unconstrained optimization procedure.


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.

 
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H. Hoppe, T. DeRose, T. Duchamp, H. Jin, J. McDonald, and W. Stuet-zle. Piecewise smooth surface reconstruction. TR 94-01-01, Dept. of Computer Science and Engineering, University of Washington, Jan-uary 1994.
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CITED BY  110

Collaborative Colleagues:
Hugues Hoppe: colleagues
Tony DeRose: colleagues
Tom Duchamp: colleagues
Mark Halstead: colleagues
Hubert Jin: colleagues
John McDonald: colleagues
Jean Schweitzer: colleagues
Werner Stuetzle: colleagues