Name
Abstract | ||
|---|---|---|
This paper introduces techniques of Riemannian geometry for processing and visualising volumetric graphical objects. A family of non-linear high-pass filters, based on the curvature tensor, is introduced and used to study the local redundancy on objects. It is shown how to reconstruct an object from geometric non-redundant regions and applications are presented and discussed. |
Year | Venue | Keywords |
|---|---|---|
2001 | W S C G ' 2001, VOLS I & II, CONFERENCE PROCEEDINGS | volumetric objects, processing, coding |
Field | DocType | Citations |
Computer vision,Scale invariance,Computer graphics (images),Computer science,Tomography,Redundancy (engineering),Riemann curvature tensor,Artificial intelligence,Riemannian geometry,Computer graphics,Gaussian curvature | Conference | 1 |
PageRank | References | Authors |
0.39 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romildo Silva | 1 | 1 | 0.39 |
| Jonas Gomes | 2 | 99 | 19.12 |
| Cicero Mota | 3 | 72 | 8.44 |