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Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction.

Abstract:

Our abilities in scene understanding, which allow us to perceive the 3D structure of our surroundings and intuitively recognise the objects we see, are things that we largely take for granted, but for robots, the task of understanding large scenes quickly remains extremely challenging. Recently, scene understanding approaches based on 3D reconstruction and semantic segmentation have become popular, but existing methods either do not scale, fail outdoors, provide only sparse reconstructions or...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ICRA.2015.7138983

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
ICRA 2015: IEEE International Conference on Robotics and Automation Journal website
Volume:
2015-June
Issue:
June
Pages:
75-82
Host title:
ICRA 2015: IEEE International Conference on Robotics and Automation
Publication date:
2015-07-02
DOI:
ISSN:
1050-4729
Source identifiers:
539195
ISBN:
9781479969234
Keywords:
Pubs id:
pubs:539195
UUID:
uuid:0758dad0-6b33-40d1-bade-0cc2eb6f989a
Local pid:
pubs:539195
Deposit date:
2016-04-03

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