Name
Title | ||
|---|---|---|
A robust and rotationally invariant local surface descriptor with applications to non-local mesh processing |
Abstract | ||
|---|---|---|
In recent years, we have witnessed a striking increase in research concerning how to describe a meshed surface. These descriptors are commonly used to encode mesh properties or guide mesh processing, not to augment existing computations by replication. In this work, we first define a robust surface descriptor based on a local height field representation, and present a transformation via the extraction of Zernike moments. Unlike previous work, our local surface descriptor is innately rotationally invariant. Second, equipped with this novel descriptor, we present SAMPLE - similarity augmented mesh processing using local exemplars - a method which uses feature neighbourhoods to propagate mesh processing done in one part of the mesh, the local exemplar, to many others. Finally, we show that SAMPLE can be used in a number of applications, such as detail transfer and parameterization. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.gmod.2011.05.002 | Graphical Models |
Keywords | Field | DocType |
novel descriptor,local surface descriptor,meshed surface,guide mesh processing,rotationally invariant local surface,mesh processing,similarity processing,similarity augmented mesh processing,local descriptors,mesh property,local height field representation,shape analysis,robust surface descriptor,local exemplar,non-local mesh processing | Computer vision,ENCODE,Height field,Parametrization,Zernike polynomials,Artificial intelligence,Invariant (mathematics),Mathematics,Computation,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
73 | 5 | Graphical Models |
Citations | PageRank | References |
6 | 0.44 | 36 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Maximo | 1 | 87 | 8.10 |
| R. Patro | 2 | 11 | 0.92 |
| A. Varshney | 3 | 6 | 0.44 |
| R. Farias | 4 | 6 | 0.44 |