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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
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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