Published August 1999 | Version public
Book Section - Chapter

Multiresolution signal processing for meshes

  • 1. ROR icon Princeton University
  • 2. ROR icon California Institute of Technology

Contributors

Abstract

We generalize basic signal processing tools such as downsampling, upsampling, and filters to irregular connectivity triangle meshes. This is accomplished through the design of a non-uniform relaxation procedure whose weights depend on the geometry and we show its superiority over existing schemes whose weights depend only on connectivity. This is combined with known mesh simplification methods to build subdivision and pyramid algorithms. We demonstrate the power of these algorithms through a number of application examples including smoothing, enhancement, editing, and texture mapping.

Additional Information

© 1999 ACM. Igor Guskov was partially supported by a Harold W. Dodds Fellowship and a Summer Internship at Bell Laboratories, Lucent Technologies. Other support was provided by NSF (ACI-9624957, ACI-9721349, DMS-9874082), Alias|wavefront and through a Packard Fellowship. Special thanks to Ingrid Daubechies, Aaron Lee, Adam Finkelstein, Zoë Wood, and Khrysaundt Koenig. Our implementation uses the triangle facet data structure and code of Ernst Mücke, and the priority queue implementation by Michael Garland.

Additional details

Identifiers

Eprint ID
71670
DOI
10.1145/311535.311577
Resolver ID
CaltechAUTHORS:20161101-170259438

Related works

Describes
10.1145/311535.311577 (DOI)

Funding

Harold W. Dodds Fellowship
Bell Laboratories
Lucent Technologies
NSF
ACI-9624957
NSF
ACI-9721349
NSF
DMS-9874082
Alias|wavefront
David and Lucile Packard Foundation

Dates

Created
2016-11-02
Created from EPrint's datestamp field
Updated
2022-11-19
Created from EPrint's last_modified field

Caltech Custom Metadata

Series Name
Computer graphics annual conference series
Series Volume or Issue Number
1999