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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

  • Czech description

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

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

  • 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