- Abstract:
-
Camera pose estimation is an important problem in computer vision, with applications as diverse as simultaneous localisation and mapping, virtual/augmented reality and navigation. Common techniques match the current image against keyframes with known poses coming from a tracker, directly regress the pose, or establish correspondences between keypoints in the current image and points in the scene in order to estimate the pose. In recent years, regression forests have become a popular alternati...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Files:
-
-
(pdf, 0.0b)
-
- Publisher copy:
- 10.1109/tpami.2019.2915068
-
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- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- IEEE Transactions on Pattern Analysis and Machine Intelligence Journal website
- Volume:
- 42
- Issue:
- 10
- Pages:
- 2465-2477
- Publication date:
- 2019-05-06
- DOI:
- ISSN:
-
0162-8828
- Pmid:
-
31059430
- Pubs id:
-
pubs:936055
- UUID:
-
uuid:82759185-97cc-48e7-a7af-f26d4b644d45
- Source identifiers:
-
936055
- Local pid:
- pubs:936055
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2019
- Rights statement:
- © IEEE, 2019.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from the Institute of Electrical and Electronics Engineers at: https://doi.org/10.1109/tpami.2019.2915068
Journal article
Real-time RGB-D camera pose estimation in novel scenes using a relocalisation cascade
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