Active Vision for Scene Understanding
In: Karlsruhe Series on Humanoid Robotics; (2021)
Online
E-Book
- 204
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.
| Titel: |
Active Vision for Scene Understanding
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| Autor/in / Beteiligte Person: | Grotz, Markus |
| Link: | |
| Quelle: | Karlsruhe Series on Humanoid Robotics; (2021) |
| Veröffentlichung: | Karlsruhe: KIT Scientific Publishing; KIT Scientific Publishing, 2021 |
| Medientyp: | E-Book |
| Umfang: | 204 |
| ISBN: | 978-3-7315-1101-4 (print) |
| ISSN: | 2512-0875 (print) |
| DOI: | 10.5445/KSP/1000132320 |
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