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Probabilistic object reconstruction with online global model correction

Abstract:

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
Version:
Accepted manuscript

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Publisher copy:
10.1109/3DV.2017.00041

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Oxford college:
St Annes College
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
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Publisher:
IEEE Publisher's website
Publication date:
2018-06-07
Acceptance date:
2017-03-03
DOI:
Pubs id:
pubs:817882
URN:
uri:aab51628-556a-4be2-94d4-1ac25a64ee29
UUID:
uuid:aab51628-556a-4be2-94d4-1ac25a64ee29
Local pid:
pubs:817882

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