Name
Abstract | ||
|---|---|---|
This paper presents a method for constructing high fidelity geometrical models of objects in a point cloud scene with the goal of grasp planning and evaluation. We consider objects whose volume can be modeled as a solid of revolution which is extracted from the scene in a sample consensus framework. The approach also provides a natural strategy for segmenting object features such has cup-handles that are an exception to this shape assumption. |
Year | Venue | DocType |
|---|---|---|
2012 | ROBOTIK | Conference |
ISBN | Citations | PageRank |
978-3-8007-3418-4 | 1 | 0.38 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefan Escaida Navarro | 1 | 42 | 6.32 |
| Tobias Klock | 2 | 1 | 0.38 |
| Daniel Braun | 3 | 1 | 4.77 |
| Heinz Wörn | 4 | 491 | 106.92 |