Output details
11 - Computer Science and Informatics
University of Dundee
Output title
Age classification using radon transform and entropy based scaling SVM
Type
E - Conference contribution
DOI
Name of conference/published proceedings
Proceedings of the British Machine Vision Conference
Volume number
-
Issue number
-
First page of article
28.1
ISSN of proceedings
-
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
<23> This paper proposed an entropy-based scaling support vector machine classifier and developed a novel approach for rotation invariant age classification. Image features are learnt by an adaptive DoG filter combined with Radon transform. The relevance and importance of these features are learnt by the proposed classifier. Experimental results demonstrate that the proposed algorithm leads to better recognition accuracy than several state of the arts. This work was supported by the EPSRC (EP/G034303/1) funded national security centre (CSIT: £30M). acceptance rate of BMVC '11 Oral is 8%.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
-
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
