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Scene understanding using deep learning

Author
Husain, S.; Dellen, B.; Torras, C.
Type of activity
Book chapter
Book
Handbook of neural computation
First page
373
Last page
382
Publisher
Elsevier
Date of publication
2017
ISBN
9780128113189 Open in new window
Repository
http://hdl.handle.net/2117/116046 Open in new window
URL
https://www.elsevier.com/books/handbook-of-neural-computation/samui/978-0-12-811318-9 Open in new window
Abstract
Automation based on artificial intelligence becomes necessary when agents such as robots are deployed to perform complex tasks. Detailed representation of a scene makes robots better aware of their surroundings, thereby making it possible to accomplish different tasks in a successful and safe manner. Tasks that involve planning of actions and manipulation of objects require identification and localization of different surfaces in dynamic environments. The usage of structured-light-based depth-se...
Citation
Husain, S., Dellen, B., Torras, C. Scene understanding using deep learning. A: "Handbook of neural computation". Elsevier, 2017, p. 373-382.
Keywords
Action recognition, Deep learning, Scene understanding, Semantic labeling, computer vision, feature extraction, learning (artificial intelligence), object recognition, robot vision
Group of research
ROBiri - IRI Robotics Group

Participants

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