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Active Vision for Scene Understanding
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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Detail Information
- Series Title
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Karlsruhe Series on Humanoid Robotics,
- Call Number
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Maths for computer scientists
- Publisher
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http://www.ksp.kit.edu/ :
KIT Scientific Publishing.,
Karlsruhe, 2021
- Collation
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oer.unej.ac.id
- Language
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English
- ISBN/ISSN
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9783731511014
- Classification
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Maths for computer scientists
- Content Type
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text
- Media Type
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computer
- Carrier Type
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online resource
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- Subject(s)
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- Specific Detail Info
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- Statement of Responsibility
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Grotz, Markus
Other Information
- Cataloger
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- Source
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https://directory.doabooks.org/handle/20.500.12854/78453
- Validator
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Suwardi
- Digital Object Identifier (DOI)
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10.5445/KSP/1000132320
- Journal Volume
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- Journal Issue
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- Subtitle
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Other version/related
No other version available
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