|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910547688303321 |
|
|
Autore |
Grotz Markus |
|
|
Titolo |
Active Vision for Scene Understanding |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Karlsruhe, : KIT Scientific Publishing, 2021 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (204 p.) |
|
|
|
|
|
|
Collana |
|
Karlsruhe Series on Humanoid Robotics |
|
|
|
|
|
|
Soggetti |
|
Maths for computer scientists |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene. |
|
|
|
|
|
|
|