Conference item
Probabilistic object reconstruction with online global model correction
- Abstract:
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In recent years, major advances have been made in 3D scene reconstruction, with a number of approaches now able to yield dense, globally-consistent models at scale. However, much less progress has been made for objects, which can exhibit far fewer unambiguous geometric/texture cues than a full scene, and thus are much harder to track against. In this work we present a novel probabilistic object reconstruction framework that simultaneously allows for online, implicit deformation of the objects...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
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(Accepted manuscript, pdf, 8.3MB)
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- Publisher copy:
- 10.1109/3DV.2017.00041
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- International Conference on 3D Vision 2017 Journal website
- Host title:
- 5th International Conference on 3D Vision, October 10th-12th 2017, Qingdao, China
- Publication date:
- 2018-06-07
- Acceptance date:
- 2017-03-03
- DOI:
- Source identifiers:
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817882
Item Description
- Pubs id:
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pubs:817882
- UUID:
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uuid:aab51628-556a-4be2-94d4-1ac25a64ee29
- Local pid:
- pubs:817882
- Deposit date:
- 2018-01-12
Terms of use
- Copyright date:
- 2018
- Notes:
- This is the author accepted manuscript following peer review version of the article. The final version is available online from IEEE at: 10.1109/3DV.2017.00041
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