Abstract
This paper introduces a publicly available caricature-photograph database and some facial attribute based matching approach to foster research in caricature recognition. The proposed database consist of 200 caricatures and corresponding photomates. Our facial attribute based matching approach defines 32 qualitative features (i.e., gender, hair color, face shape, etc.) for identifying a subject. Then these qualitative features are used to match a caricature to a photograph. In our experiments, we use genetic algorithms and achieve 69% recognition rate at 10% false acceptance rate.
Translated title of the contribution | Matching facial attributes in caricature-photograph pairs |
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Original language | Turkish |
Title of host publication | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2145-2148 |
Number of pages | 4 |
ISBN (Electronic) | 9781467373869 |
DOIs | |
Publication status | Published - 19 Jun 2015 |
Event | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Duration: 16 May 2015 → 19 May 2015 |
Publication series
Name | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
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Conference
Conference | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
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Country/Territory | Turkey |
City | Malatya |
Period | 16/05/15 → 19/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.