Output details
11 - Computer Science and Informatics
University of Westminster
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Output 0 of 0 in the submission
Output title
Region analysis through close contour transformation using growing neural gas
Type
E - Conference contribution
Name of conference/published proceedings
WCCI 2012 IEEE World Congress on Computational Intelligence, IJCNN, Brisbane, Australia, 10-15 June 2012
Volume number
-
Issue number
-
First page of article
1
ISSN of proceedings
2161-4393
Year of publication
2012
Number of additional authors
3
Additional information
<23>Originality: This paper introduces a new discriminative shape descriptor that generalises to any contour and region, and can be used to speed up the modelling and the analysis of any shape.
Significance: The paper proposes a solution to a fundamental problem of extracting semantically meaningful visual regions. It has also established new partnerships with Orange (France), and the consulting company ClopiNet (USA), in the organisation of workshops on Active and Autonomous Learning.
Rigour: Mathematical and Algorithmic analyses support all major findings of this research. Results published in a leading, peer-reviewed conference.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
