Face and Landmark Detection by Using Cascade of Classifiers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212536" target="_blank" >RIV/68407700:21230/13:00212536 - isvavai.cz</a>
Result on the web
<a href="http://cmp.felk.cvut.cz/pub/cmp/articles/franc/Cevilkalp-FaceDetector-FG2013.pdf" target="_blank" >http://cmp.felk.cvut.cz/pub/cmp/articles/franc/Cevilkalp-FaceDetector-FG2013.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FG.2013.6553705" target="_blank" >10.1109/FG.2013.6553705</a>
Alternative languages
Result language
angličtina
Original language name
Face and Landmark Detection by Using Cascade of Classifiers
Original language description
In this paper, we consider face detection along with facial landmark localization inspired by the recent studies showing that incorporating object parts improves the detection accuracy. To this end, we train roots and parts detectors where the roots detector returns candidate image regions that cover the entire face, and the parts detector searches for the landmark locations within the candidate region. We use a cascade of binary and one-class type classifiers for the roots detection and SVM like learning algorithm for the parts detection. Our proposed face detector outperforms the most of the successful face detection algorithms in the literature and gives the second best result on all tested challenging face detection databases. Experimental resultsshow that including parts improves the detection performance when face images are large and the details of eyes and mouth are clearly visible, but does not introduce any improvement when the images are small.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7E10047" target="_blank" >7E10047: Humanoids with auditory and visual abilities in populated spaces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on
ISBN
978-1-4673-5545-2
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
IEEE
Place of publication
Piscataway
Event location
Shanghai
Event date
Apr 22, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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