Journal article
Pose estimation and tracking using multivariate regression
- Abstract:
- This paper presents an extension of the relevance vector machine (RVM) algorithm to multivariate regression. This allows the application to the task of estimating the pose of an articulated object from a single camera. RVMs are used to learn a one-to-many mapping from image features to state space, thereby being able to handle pose ambiguity.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 752.3KB, Terms of use)
-
- Publisher copy:
- 10.1016/j.patrec.2008.02.004
Authors
- Publisher:
- Elsevier
- Journal:
- Pattern Recognition Letters More from this journal
- Volume:
- 29
- Issue:
- 9
- Pages:
- 1302-1310
- Publication date:
- 2008-02-20
- Acceptance date:
- 2008-01-01
- DOI:
- ISSN:
-
0167-8655
- Language:
-
English
- Pubs id:
-
971550
- Local pid:
-
pubs:971550
- Deposit date:
-
2024-05-21
Terms of use
- Copyright holder:
- Elsevier B.V.
- Copyright date:
- 2008
- Rights statement:
- Copyright © 2008 Elsevier B.V. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from Elsevier at https://dx.doi.org/10.1016/j.patrec.2008.02.004
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