Matching caricatures to photographs. Issue 1 (December 2015)
- Record Type:
- Journal Article
- Title:
- Matching caricatures to photographs. Issue 1 (December 2015)
- Main Title:
- Matching caricatures to photographs
- Authors:
- Abaci, Bahri
Akgul, Tayfun - Abstract:
- Abstract Facial caricatures are informative funny images that allow us to identify a subject even with a few lines and dots. Matching caricatures to photographs is a challenging cross-modal face matching problem. This paper addresses this problem by defining a set of qualitative face features both for caricatures and photographs where features are automatically extracted from photos and manually labeled in caricatures. Additionally we release a publicly available caricature-photograph database with 200 caricatures and corresponding photomates. In our experiments, we use genetic algorithms and logistic regression and achieve over $$\mathrm{30.0}\, \%$$ 30.0 % recognition rate at 0.1 false accept rate.
- Is Part Of:
- Signal, image and video processing. Volume 9:Issue 1(2015)
- Journal:
- Signal, image and video processing
- Issue:
- Volume 9:Issue 1(2015)
- Issue Display:
- Volume 9, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 9
- Issue:
- 1
- Issue Sort Value:
- 2015-0009-0001-0000
- Page Start:
- 295
- Page End:
- 303
- Publication Date:
- 2015-12
- Subjects:
- Caricature recognition -- Facial attributes -- Genetic algorithms
Signal processing -- Digital techniques -- Periodicals
Image processing -- Digital techniques -- Periodicals
Digital video -- Periodicals
621.3822 - Journal URLs:
- http://www.springerlink.com/content/120512/ ↗
http://www.springerlink.com/openurl.asp?genre=journal&issn=1863-1703 ↗
http://www.springer.com/gb/ ↗ - DOI:
- 10.1007/s11760-015-0819-8 ↗
- Languages:
- English
- ISSNs:
- 1863-1703
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8275.985203
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10121.xml