Name
Title | ||
|---|---|---|
An Extended Geometric Approach in Active Vision to Detect and Eliminate Specularity in Shiny Colored Objects |
Abstract | ||
|---|---|---|
In this paper we present an extended geometric ap- proach, that detects and eliminate the specular points in a texture image of shiny objects, with the help of corre- sponding range data. The approach neither count on spectral variations of the texture image nor employs rigid constrains on illumination sources, such as point light source limitations. It rather determines the candi- date specular points, based on range data measured at the same view direction as the texture image, the view- ing geometry, the geometry of the illumination source, and provide spatial information of such points to the secondary processing algorithms. The specular elimina- tion process is embedded with a viewpoint shift algo- rithm, which uses an active vision methodology, based on data supplied by the geometric method. |
Year | Venue | Keywords |
|---|---|---|
1998 | MVA | spatial information,active vision |
Field | DocType | Citations |
Spatial analysis,Computer vision,Robotic arm,Active vision,Specularity,Pattern recognition,Specular reflection,Object model,Artificial intelligence,Computer graphics,Mathematics,Computation | Conference | 2 |
PageRank | References | Authors |
0.41 | 2 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pujitha Gunaratne | 1 | 17 | 2.99 |
| Yukio Sato | 2 | 8 | 2.67 |