Name
Title | ||
|---|---|---|
Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp |
Abstract | ||
|---|---|---|
Robotic grasp in complex open-world scenarios requires an effective and generalizable perception. Estimating object’s pose is needed in a variety of practical grasping scenarios. Here we present a novel approach of pose estimation of textureless and textured objects. The algorithm utilizes a single RGB-D image to exploit depth invariant, oriented point pair feature as well as local contextual sens... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TASE.2020.3021119 | IEEE Transactions on Automation Science and Engineering |
Keywords | DocType | Volume |
Pose estimation,Forestry,Robots,Training,Decision trees,Sensitivity,Clutter | Journal | 18 |
Issue | ISSN | Citations |
4 | 1545-5955 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huixu Dong | 1 | 0 | 0.68 |
| Dilip K. Prasad | 2 | 162 | 21.84 |
| I-Ming Chen | 3 | 567 | 87.28 |