Name
Abstract | ||
|---|---|---|
We present a deep hierarchical visual system with two parallel hierarchies for edge and surface information. In the two hierarchies, complementary visual information is represented on different levels of granularity together with the associated uncertainties and confidences. At all levels, geometric and appearance information is coded explicitly in 2D and 3D allowing to access this information separately and to link between the different levels. We demonstrate the advantages of such hierarchies in three applications covering grasping, viewpoint independent object representation, and pose estimation. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s00138-015-0705-y | Machine Vision and Applications |
Keywords | Field | DocType |
Cognitive vision,Deep hierarchies,Surface representation,Surface relations | Computer vision,Computer science,Pose,Artificial intelligence,Granularity,Hierarchy,Cognitive vision | Journal |
Volume | Issue | ISSN |
26 | 7-8 | 0932-8092 |
Citations | PageRank | References |
1 | 0.35 | 60 |
Authors | ||
12 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dirk Kraft | 1 | 252 | 24.06 |
| Wail Mustafa | 2 | 22 | 3.81 |
| Mila Popovic | 3 | 144 | 6.76 |
| Jeppe Barsøe Jessen | 4 | 23 | 2.43 |
| Anders Glent Buch | 5 | 73 | 11.99 |
| Thiusius Rajeeth Savarimuthu | 6 | 58 | 13.10 |
| Nicolas Pugeault | 7 | 403 | 24.07 |
| Norbert Krüger | 8 | 40 | 8.76 |
| PopovićMila | 9 | 1 | 0.35 |
| JessenJeppe BarsØe | 10 | 1 | 0.35 |
| BuchAnders Glent | 11 | 1 | 0.35 |
| SavarimuthuThiusius Rajeeth | 12 | 1 | 0.35 |