Conference item
Keep geometry in context: using contextual priors for very-large-scale 3D dense reconstructions
- Abstract:
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This paper is about the efficient generation of dense models of very large-scale environments from depth data and in particular, stereo-camera-based depth data. Better maps make for better understanding; better understanding leads to better robots, but this comes at a cost: the computational and memory requ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Bibliographic Details
- Publisher:
- Robotics: Science and Systems Publisher's website
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-05-23
- Pubs id:
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pubs:820373
- URN:
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uri:b5f4e591-0078-49fc-a26a-ce4459473fe0
- UUID:
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uuid:b5f4e591-0078-49fc-a26a-ce4459473fe0
- Local pid:
- pubs:820373
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- Copyright date:
- 2016
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