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Active Vision for Scene Understanding
Markus Grotz
2021
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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.
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Keywords
- Computer science
- Computing & information technology
- humanoid robots
- Humanoide Robotik
- Mathematical theory of computation
- Maths for computer scientists
- Roboter
- Robots
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
Links
DOI: 10.5445/KSP/1000132320Editions