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

J 2020

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

FERKOVÁ, Zuzana, Petra URBANOVÁ, Dominik ČERNÝ, Marek ŽUŽI, Petr MATULA et. al.

Basic information

Original name

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

Authors

FERKOVÁ, Zuzana (703 Slovakia, guarantor, belonging to the institution), Petra URBANOVÁ (203 Czech Republic, belonging to the institution), Dominik ČERNÝ (203 Czech Republic, belonging to the institution), Marek ŽUŽI (703 Slovakia, belonging to the institution) and Petr MATULA (203 Czech Republic, belonging to the institution)

Edition

Multimedia Tools and Applications, Kluwer Academic Publishers, 2020, 1380-7501

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 2.757

RIV identification code

RIV/00216224:14330/20:00115015

Organization unit

Faculty of Informatics

DOI

http://dx.doi.org/10.1007/s11042-018-6869-5

UT WoS

000519410700009

Keywords in English

Face reconstruction; Single photo reconstruction; Depth image database; Frontal image; Forensic anthropology

Abstract

V originále

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.

Links

MUNI/A/0854/2017, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VII.

Investor: Masaryk University, Category A

MUNI/A/1018/2018, interní kód MU

Name: Rozsáhlé výpočetní systémy: modely, aplikace a verifikace VIII.

Investor: Masaryk University, Category A

MUNI/A/1153/2019, interní kód MU

Name: Identifikační a predikční modely aplikované na kraniofaciální oblast člověka: inovace a validace

Investor: Masaryk University, Category A

MUNI/A/1400/2018, interní kód MU

Name: Rozvoj aplikačního potenciálu morfologických znaků obličeje člověka

Investor: Masaryk University, Category A

Citovat

FERKOVÁ, Zuzana, Petra URBANOVÁ, Dominik ČERNÝ, Marek ŽUŽI and Petr MATULA. Age and gender-based human face reconstruction from single frontal image. Multimedia Tools and Applications. Kluwer Academic Publishers, 2020, vol. 79, 5-6, p. 3217-3242. ISSN 1380-7501. Available from: https://dx.doi.org/10.1007/s11042-018-6869-5.

@article{1473220,
   author = {Ferková, Zuzana and Urbanová, Petra and Černý, Dominik and Žuži, Marek and Matula, Petr},
   article_number = {5-6},
   doi = {http://dx.doi.org/10.1007/s11042-018-6869-5},
   keywords = {Face reconstruction; Single photo reconstruction; Depth image database; Frontal image; Forensic anthropology},
   language = {eng},
   issn = {1380-7501},
   journal = {Multimedia Tools and Applications},
   title = {Age and gender-based human face reconstruction from single frontal image},
   url = {https://link.springer.com/article/10.1007/s11042-018-6869-5},
   volume = {79},
   year = {2020}
}

TY  - JOUR
ID  - 1473220
AU  - Ferková, Zuzana - Urbanová, Petra - Černý, Dominik - Žuži, Marek - Matula, Petr
PY  - 2020
TI  - Age and gender-based human face reconstruction from single frontal image
JF  - Multimedia Tools and Applications
VL  - 79
IS  - 5-6
SP  - 3217-3242
EP  - 3217-3242
PB  - Kluwer Academic Publishers
SN  - 13807501
KW  - Face reconstruction
KW  - Single photo reconstruction
KW  - Depth image database
KW  - Frontal image
KW  - Forensic anthropology
UR  - https://link.springer.com/article/10.1007/s11042-018-6869-5
L2  - https://link.springer.com/article/10.1007/s11042-018-6869-5
N2  - 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.
ER  -

FERKOVÁ, Zuzana, Petra URBANOVÁ, Dominik ČERNÝ, Marek ŽUŽI and Petr MATULA. Age and gender-based human face reconstruction from single frontal image. \textit{Multimedia Tools and Applications}. Kluwer Academic Publishers, 2020, vol.~79, 5-6, p.~3217-3242. ISSN~1380-7501. Available from: https://dx.doi.org/10.1007/s11042-018-6869-5.

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