3D facial attractiveness enhancement using free form deformation

Autor: El Rhazi Manal, Zarghili Arsalane, Majda Aicha, Oufkir Ayat Allah
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3497-3505 (2022)
Druh dokumentu: article
ISSN: 1319-1578
DOI: 10.1016/j.jksuci.2020.11.031
Popis: Physical attractiveness has an important and great influence in human social life as it was widely linked to the possession of a variety of positive qualities that makes an individual better than the others, as well as offering many advantages to the individual’s life especially in a society obsessed with beauty and attractiveness. As consequences to the attractiveness influence, people tend to look more and more attractive using makeup or in most of the time plastic surgeries. In parallel to the increased need to plastic surgeries, the need to simplify and show how the face will look like after the surgery is recommended, to plan the procedures, verify the satisfaction of the patient, and reduce the risks during the surgery as well. In this paper, we introduce a novel system to analyze and enhance the attractiveness of 3D faces using a Free Form Deformation technique based on the Bézier function. This system was tested on two 3D face datasets and the experimental results show that the edited 3D faces are more attractive compared to the original faces in terms of respecting the beauty canons which are: facial symmetry, golden ration, neoclassical proportions, and the angular profile.
Databáze: Directory of Open Access Journals