Output details
11 - Computer Science and Informatics
Oxford Brookes University
Article title
Multiple-View Geometry Under the {$L_\infty$}-Norm
Type
D - Journal article
Title of journal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Article number
-
Volume number
30
Issue number
9
First page of article
1603
ISSN of journal
0162-8828
Year of publication
2008
URL
-
Number of additional authors
1
Additional information
<23> This is an influential paper that introduces L-infinity optimization into the study of problems in Computer Vision. The key observation of the paper is that many often-encountered optimization problem allow unique solutions
when reformulated as mini-max optimization problems. This avoids the problem of local minima by converging directly to a global optimum solution. This research direction was continued in follow-up papers by many authors, as shown by its citation count. It has led particularly to a number of algorithms
for finding maximal inlier sets for various correspondence problems.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
64
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-