Name
Abstract | ||
|---|---|---|
This paper presents visual perception discovered in high-level manipulator planning for a robot to reproduce the procedure involved in human painting. First, we propose a technique of 3D object segmentation that can work well even when the precision of the cameras is inadequate. Second, we apply a simple yet powerful fast color perception model that shows similarity to human perception. The method outperforms many existing interactive color perception algorithms. Third, we generate global orientation map perception using a radial basis function. Finally, we use the derived foreground, color segments, and orientation map to produce a visual feedback drawing. Our main contributions are 3D object segmentation and color perception schemes. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/IROS.2007.4399010 | 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems |
Keywords | Field | DocType |
High-level planning,object segmentation,color perception,orientation map | Computer vision,Object detection,Segmentation,Computer science,Image segmentation,Artificial intelligence,Robot,Color vision,Perception,Visual perception,Humanoid robot | Conference |
ISSN | ISBN | Citations |
2153-0858 | 978-1-4244-0911-2 | 0 |
PageRank | References | Authors |
0.34 | 21 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miti Ruchanurucks | 1 | 42 | 5.40 |
| Shunsuke Kudoh | 2 | 145 | 22.87 |
| Koichi Ogawara | 3 | 163 | 20.41 |
| Takaaki Shiratori | 4 | 50 | 3.37 |
| Katsushi Ikeuchi | 5 | 4651 | 881.49 |