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Active Vision for Scene Understanding

Grotz, Markus - Personal Name;

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
Karlsruhe Series on Humanoid Robotics,
Call Number
Maths for computer scientists
Publisher
http://www.ksp.kit.edu/ : KIT Scientific Publishing., Karlsruhe, 2021
Collation
oer.unej.ac.id
Language
English
ISBN/ISSN
9783731511014
Classification
Maths for computer scientists
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Computer scientists
Roboter
Humanoide RobotikHumanoide Robotik
Specific Detail Info
-
Statement of Responsibility
Grotz, Markus
Other Information
Cataloger
-
Source
https://directory.doabooks.org/handle/20.500.12854/78453
Validator
Suwardi
Digital Object Identifier (DOI)
10.5445/KSP/1000132320
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
Other version/related

No other version available

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  • Active Vision for Scene Understanding
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