Output details
15 - General Engineering
University of Cambridge
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Output 0 of 0 in the submission
Article title
Efficient registration of nonrigid 3-D bodies
Type
D - Journal article
Title of journal
IEEE Transactions on Image Processing
Article number
-
Volume number
21
Issue number
1
First page of article
262
ISSN of journal
1057-7149
Year of publication
2012
URL
-
Number of additional authors
1
Additional information
This work on efficient registration methods, employing the linear-phase properties of dual-tree wavelets, has formed the basis of three rotation-invariant object tracking and object recognition projects in Kingsbury's Signal Processing Group by researchers J Nelson, T Gale and S Forshaw, as well as work on vehicle recognition for Createc Ltd, Cumbria (Dr Matthew Mellor, ID_in_audit_file@createc.co.uk). Dr Nelson, who was a post-doc in Cambridge, is now a Lecturer in the Statistics Department at University College London.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
