A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223248" target="_blank" >RIV/68407700:21230/14:00223248 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICPR.2014.378" target="_blank" >http://dx.doi.org/10.1109/ICPR.2014.378</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICPR.2014.378" target="_blank" >10.1109/ICPR.2014.378</a>
Alternative languages
Result language
angličtina
Original language name
A 3D Approach to Facial Landmarks: Detection, Refinement, and Tracking
Original language description
A real-time algorithm for accurate localization of facial landmarks in a single monocular image is proposed. The algorithm is formulated as an optimization problem, in which the sum of responses of local classifiers is maximized with respect to the camera pose by fit ting a generic (not a person specific) 3D model. The algorithm simultaneously estimates a head position and orientation and detects the facial landmarks in the image. Despite being local, we show that the basin of attraction is large to theextent it can be initialized by a scannin g window face detector. Other experiments on standard datasets demonstrate that the proposed a lgorithm outperforms a state-of-the-art landmark detector especially for non-frontal face imag es, and that it is capable of reliable and stable tracking for large set of viewing angles.
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
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of 22nd International Conference on Pattern Recognition
ISBN
978-1-4799-5208-3
ISSN
1051-4651
e-ISSN
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Number of pages
6
Pages from-to
2173-2178
Publisher name
IEEE Computer Society Press
Place of publication
Los Alamitos
Event location
Stockholm
Event date
Aug 24, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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