Generating various composite human faces from real 3D facial images

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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CHALÁS Igor URBANOVÁ Petra JUŘÍK Vojtěch FERKOVÁ Zuzana JANDOVÁ Marie SOCHOR Jiří KOZLÍKOVÁ Barbora

Rok publikování 2017
Druh Článek v odborném periodiku
Časopis / Zdroj The Visual Computer
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www http://dx.doi.org/10.1007/s00371-016-1277-1
Doi http://dx.doi.org/10.1007/s00371-016-1277-1
Obor Informatika
Klíčová slova Facial composite; 3D face model;Face perception; Crowd simulation; Morphological modification
Přiložené soubory
Popis Generating large human crowds of distinguishable individuals is one of the challenges in the gaming industry. When the scene contains many characters, it becomes impracticable to create all the individual characters manually. However, the requirement for the different appearances of individuals in a crowd, namely their faces, is now in greater demand. Therefore, this paper describes our solution to the automatic generation of human faces that are created as a composite of facial parts of 3D scans of real human faces. 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. To evaluate the usability of our solution, we performed two case studies. The conducted perception study performed with 104 participants aimed to confirm the decreasing human ability to recognize morphologically modified faces. The morphological study focused on the quantification of the extent of facial modifications. Both studies were performed by domain experts from psychology and anthropology.
Související projekty:

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