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Real-time depth processing for embedded platforms

Abstract:

Obtaining depth information of a scene is an important requirement in many computer-vision and robotics applications. For embedded platforms, passive stereo systems have many advantages over their active counterparts (i.e. LiDAR, Infrared). They are power efficient, cheap, robust to lighting conditions and inherently synchronized to the RGB images of the scene. However, stereo depth estimation is a computationally expensive task that operates over large amounts of data. For embedded applicati...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1117/12.2272504

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council/Multidisciplinary University Research Initiative
Grant:
EP/N019474/1
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/M013774/1
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Name:
European Research Council
Grant:
ERC-2012-AdG
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Name:
European Comission
Grant:
FP7: 317497
Publisher:
Society of Photo-optical Instrumentation Engineers
Host title:
Proceedings of SPIE: Real-Time Image and Video Processing 2017
Journal:
SPIE More from this journal
Volume:
10223
Publication date:
2017-05-01
Acceptance date:
2017-01-17
DOI:
EISSN:
1996-756X
ISSN:
0277-786X
ISBN:
9781510609488
Pubs id:
pubs:708926
UUID:
uuid:ce41b277-208e-4447-8817-db0555dadec0
Local pid:
pubs:708926
Source identifiers:
708926
Deposit date:
2019-02-12

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