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%2F16%3A00243390" target="_blank" >RIV/68407700:21230/16:00243390 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0262885616300105" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0262885616300105</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.imavis.2016.02.004" target="_blank" >10.1016/j.imavis.2016.02.004</a>
Alternative languages
Result language
angličtina
Original language name
Multi-view facial landmark detector learned by the Structured Output SVM
Original language description
Abstract We propose a real-time multi-view landmark detector based on Deformable Part Models (DPM). The detector is composed of a mixture of tree based DPMs, each component describing landmark configurations in a specific range of viewing angles. The usage of view specific DPMs allows to capture a large range of poses and to deal with the problem of self-occlusions. Parameters of the detector are learned from annotated examples by the Structured Output Support Vector Machines algorithm. The learning objective is directly related to the performance measure used for detector evaluation. The tree based DPM allows to find a globally optimal landmark configuration by the dynamic programming. We propose a coarse-to-fine search strategy which allows real-time processing by the dynamic programming also on high resolution images. Empirical evaluation on “in the wild” images shows that the proposed detector is competitive with the state-of-the-art methods in terms of speed and accuracy yet it keeps the guarantee of finding a globally optimal estimate in contrast to other methods.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Image and Vision Computing
ISSN
0262-8856
e-ISSN
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Volume of the periodical
47
Issue of the periodical within the volume
March
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
45-59
UT code for WoS article
000377824500006
EID of the result in the Scopus database
2-s2.0-84961226711