D 2015

Generation of variable human faces from 3D scan dataset

CHALÁS, Igor, Zuzana FERKOVÁ, Katarína FURMANOVÁ, Jiří SOCHOR, Barbora KOZLÍKOVÁ et. al.

Základní údaje

Originální název

Generation of variable human faces from 3D scan dataset

Autoři

CHALÁS, Igor (703 Slovensko, garant, domácí), Zuzana FERKOVÁ (703 Slovensko, domácí), Katarína FURMANOVÁ (703 Slovensko, domácí), Jiří SOCHOR (203 Česká republika, domácí) a Barbora KOZLÍKOVÁ (203 Česká republika, domácí)

Vydání

Skovde, Sweden, In Proceedings of the 7th International Conference on Games and Virtual Worlds for Serious Applications, od s. 38-45, 8 s. 2015

Nakladatel

IEEE Computer Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Švédsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

paměťový nosič (CD, DVD, flash disk)

Kód RIV

RIV/00216224:14330/15:00083735

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4799-8102-1

UT WoS

000380426500020

Klíčová slova anglicky

facial composite; 3D face model; personal identification; crowd simulation; gaming

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 1. 9. 2017 20:58, RNDr. Igor Chalás

Anotace

V originále

Generating human faces is an important task in many research and application fields, including the gaming industry. When the scene contains many characters, it becomes impracticable to create all individual characters manually. On the other hand, the requirement for the different appearance of faces of individuals in a crowd is now more in demand. In this paper we propose our solution to the automatic generation of human faces. Our solution synthesizes facial parts coming from scans of real human faces; a process that is completely automatic. However, the user has the possibility to further adjust the composite by designing replacements, leading to a desired appearance. The final composite can be exported and attached to a given avatar. As the perception of the variability of resulting composites is in our focus as well, we also present results of the user study which was designed for this purpose. The study aims to reveal the minimal changes of the facial parts which are necessary to make in order to perceive a given facial model as different from the original one.