Active Vision for Scene Understanding

• Autore: Grotz Markus
• Pubblicazione: Karlsruhe, : KIT Scientific Publishing, 2021
• Descrizione fisica: 1 electronic resource (204 p.)
• Soggetto topico: Maths for computer scientists
• Soggetto non controllato: Roboter; Humanoide Robotik; robots; Robots; humanoid robots
• 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.
• Titolo autorizzato: Active Vision for Scene Understanding
• ISBN: 1000132320
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910547688303321
• Lo trovi qui: Univ. Federico II