Output details
11 - Computer Science and Informatics
University of Hull
Article title
Posterior probability measure for image matching
Type
D - Journal article
Title of journal
Pattern Recognition
Article number
-
Volume number
41
Issue number
7
First page of article
2422
ISSN of journal
0031-3203
Year of publication
2008
URL
-
Number of additional authors
2
Additional information
<23> This paper analyses well-known similarity measures fundamental to pattern recognition. It was found that they were not robust enough to cope with background noise. A novel metric, Posterior Probability Measure (PPM), was proposed to deal with background noise. It was verified by visual tracking experiments that the new PPM outperformed the other measures. This measure has been successfully used in several research and industrial projects, such as visual tracking in a production line at Shris Ltd. The method was developed in the international joint project WiME coordinated by Jiang for wheelchair visual servoing .
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
9
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
