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dc.contributor.authorGrotz, Markus
dc.date.accessioned2022-02-18T15:02:36Z
dc.date.available2022-02-18T15:02:36Z
dc.date.issued2021
dc.identifierONIX_20220218_9783731511014_9
dc.identifier.issn2512-0875
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/52948
dc.description.abstractVisual 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.
dc.languageEnglish
dc.relation.ispartofseriesKarlsruhe Series on Humanoid Robotics
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
dc.subject.otherRoboter
dc.subject.otherHumanoide Robotik
dc.subject.otherrobots
dc.subject.otherRobots
dc.subject.otherhumanoid robots
dc.titleActive Vision for Scene Understanding
dc.typebook
oapen.identifier.doi10.5445/KSP/1000132320
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9
oapen.relation.isbn9783731511014
oapen.imprintKIT Scientific Publishing
oapen.series.number7
oapen.pages204
oapen.place.publicationKarlsruhe


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