Name
Abstract | ||
|---|---|---|
•This work presents an evaluation of PPF features on a large set of 3D scene.•First, the internal variations of PPFs is evaluated.•Then, PPFs are compared to local histogram feature descriptors.•The evaluation is made on feature and pose estimation level. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cviu.2017.09.004 | Computer Vision and Image Understanding |
Keywords | Field | DocType |
PPF,Point pair features,Object detection,Object recognition,Pose estimation,Feature description | Histogram,Pose,Artificial intelligence,Object detection,Computer vision,Pattern recognition,Clutter,RANSAC,Absolute scale,Point cloud,Mathematics,Machine learning,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
166 | C | 1077-3142 |
Citations | PageRank | References |
4 | 0.57 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| lilita kiforenko | 1 | 7 | 1.64 |
| Bertram Drost | 2 | 217 | 8.89 |
| Federico Tombari | 3 | 1802 | 98.90 |
| Norbert Krüger | 4 | 40 | 8.76 |
| Anders Glent Buch | 5 | 73 | 11.99 |