Real-time Multi-view Facial Landmark Detector Learned by the Structured Output SVM
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230209" target="_blank" >RIV/68407700:21230/15:00230209 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/FG.2015.7284808" target="_blank" >http://dx.doi.org/10.1109/FG.2015.7284808</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FG.2015.7284808" target="_blank" >10.1109/FG.2015.7284808</a>
Alternative languages
Result language
angličtina
Original language name
Real-time Multi-view Facial Landmark Detector Learned by the Structured Output SVM
Original language description
While the problem of facial landmark detection is getting big attention i n the computer vision community recently, most of the methods deal only with near-frontal views and there is only a few really multi-view detectors available, that are capable of detection in a wide range of yaw angle (e.g. $phi in (-90, 90)$). We describe a multi-view facial landmark detector based on the Deformable Part Models, which treats the problem of the simultaneous landmark detection and the viewing angle estimation within a structured output classification framework. We prese nt an easily extensible and flexible framework which provides a real-time performance on the ``in the wild'' images, evaluated on a challenging ``Annotated Facial Landmarks in the Wild'' database.We show that our det ector achieves better results than the current state of the art in terms of the localization error.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
BWILD'15: 11th IEEE International Conference on Automatic Face and Gestu re Recognition Workshops, Biometrics in the Wild
ISBN
978-1-4799-6025-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
IEEE Computer Society Press
Place of publication
New York
Event location
Ljubljana
Event date
May 8, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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