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On-the-fly adaptation of regression forests for online camera relocalisation

Abstract:

Camera relocalisation is an important problem in computer vision, with applications in simultaneous localisation and mapping, virtual/augmented reality and navigation. Common techniques either match the current image against keyframes with known poses coming from a tracker, or establish 2D-to-3D correspondences between keypoints in the current image and points in the scene in order to estimate the camera pose. Recently, regression forests have become a popular alternative to establish such co...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1109/CVPR.2017.31

Authors


Cavallari, T More by this author
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Department:
Wolfson College
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Department:
Oxford, MPLS, Engineering Science
Valentin, J More by this author
Di Stefano, L More by this author
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Grant:
ERC-2012-AdG 321162-HELIOS
Publisher:
Institute for Electrical and Electronics Engineers Publisher's website
Publication date:
2017-11-05
Acceptance date:
2017-03-03
DOI:
ISSN:
1063-6919
Pubs id:
pubs:689001
URN:
uri:fafd9528-512e-4927-a1ad-dc104147fd92
UUID:
uuid:fafd9528-512e-4927-a1ad-dc104147fd92
Local pid:
pubs:689001

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