Name
Title | ||
|---|---|---|
3D object recognition and pose estimation for random bin-picking using Partition Viewpoint Feature Histograms |
Abstract | ||
|---|---|---|
•A novel 3D feature descriptor for object recognition and 6DOF pose estimation is proposed.•This research introduces the recognition pipelines of the PVFH descriptor.•The proposed method ensures more accurate pose estimation, and higher computational efficiency.•Our approach is suitable for objects in industrial scenes. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2019.08.016 | Pattern Recognition Letters |
Keywords | Field | DocType |
Point cloud,Feature descriptor,Bin-picking | Computer vision,Histogram,Bin picking,Pattern recognition,Pose,Concatenation,Artificial intelligence,Partition (number theory),Point cloud,Mathematics,Cognitive neuroscience of visual object recognition,Minimum bounding box | Journal |
Volume | ISSN | Citations |
128 | 0167-8655 | 3 |
PageRank | References | Authors |
0.41 | 0 | 5 |