ACM Home Page
Please provide us with feedback. Feedback
Digital Library logoTake a look at the new version of this page: [ beta version ]. Tell us what you think.
Consistent mesh parameterizations
Full text PdfPdf (2.97 MB)
Source International Conference on Computer Graphics and Interactive Techniques archive
Proceedings of the 28th annual conference on Computer graphics and interactive techniques table of contents
Pages: 179 - 184  
Year of Publication: 2001
ISBN:1-58113-374-X
Authors
Emil Praun  Princeton University
Wim Sweldens  Bell Labs
Peter Schröder  Bell Labs
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 58,   Citation Count: 45
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/10.1145/383259.383277
What is a DOI?

ABSTRACT

A basic element of Digital Geometry Processing algorithms is the establishment of a smooth parameterization for a given model. In this paper we propose an algorithm which establishes parameterizations for a set of models. The parameterizations are called consistent because they share the same base domain and respect features. They give immediate correspondences between models and allow remeshes with the same connectivity. Such remeshes form the basis for a large class of algorithms, including principal component analysis, wavelet transforms, detail and texture transfer between models, and n-way shape blending. We demonstrate the versatility of our algorithm with a number of examples.


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
 
4
5
 
6
 
7
KIMMEL, R., AND SETHIAN, J. Fast Marching Method on Triangulated Domains. In Proceedings of the National Academy of Science, vol. 95, 8341-8435, 1998.
8
 
9
10
 
11
 
12
TURK, M., AND PENTLAND, A. Eigenfaces for Recognition. Journal of Cognitive Neuroscience 3, 1 (1991), 71-86.

CITED BY  45

Collaborative Colleagues:
Emil Praun: colleagues
Wim Sweldens: colleagues
Peter Schröder: colleagues