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Age and gender-based human face reconstruction from single frontal image

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F20%3A00115015" target="_blank" >RIV/00216224:14330/20:00115015 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11042-018-6869-5" target="_blank" >https://link.springer.com/article/10.1007/s11042-018-6869-5</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11042-018-6869-5" target="_blank" >10.1007/s11042-018-6869-5</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Age and gender-based human face reconstruction from single frontal image

  • Original language description

    We present an approach for the human face reconstruction from a single frontal image for the use in forensic anthropology when the subject’s age and gender is known. In our approach we build a database of several depth images per each age and gender group pair, marked with facial landmarks. To reconstruct a 3D facial model from an unknown frontal image we search the most similar face in the depth database based on the automatically detected landmarks and assign its depth to the model. In the evaluation part, we compared our approach to a recent automatic convolutional neural network based algorithm and a semi-automatic approach, where landmarks are required to be detected manually. In contrast to other tested approaches our algorithm can estimate all major components, such as eyes, nose and mouth, evenly. Thanks to the external depth database, it can also reconstruct human faces from images with partial facial occlusions and uneven lighting. Additionally, we have found that a single depth image provides a good approximation of the human face and a combination of multiple precomputed depth images has a little impact on the final 3D face reconstruction result. Speed measurements show that our algorithm provides a quick and a fully automatic way to reconstruct a human face from a single frontal image for the use in forensic anthropology.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Multimedia Tools and Applications

  • ISSN

    1380-7501

  • e-ISSN

    1573-7721

  • Volume of the periodical

    79

  • Issue of the periodical within the volume

    5-6

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    26

  • Pages from-to

    3217-3242

  • UT code for WoS article

    000519410700009

  • EID of the result in the Scopus database

    2-s2.0-85056907519