http://lattes.cnpq.br/7084589211967650; SOUSA, Vinícius Fernandes de.
Resumo:
Facial caricature can be defined as the representation of an individual by exaggerating the most
distinct features of the face and simplifying the most common features. Computer-generated
cartoons, in turn, are developed with the intention of producing automatic or semi-automatic
cartoons. This is due, in large part, to the growing advancement in the areas of Computer
Graphics and Computer Vision. Within this context, the present study has as its main goal the
proposition of an approach for the automatic generation of facial distortions in digital videos
that resemble facial caricatures. The main challenges of the study were the design of a model
for the detection of facial points in videos, obtaining general rules that visually satisfy the
automatic generation of caricatures, as well as the treatment of possible problems related to
the generation of the distorted videos. In this study, an adaptive approach was designed to
detect fiducial points in videos, and a strategy was developed so that the temporal coherence
of deformations was maintained. After comparing the adaptive approach developed in this
study with other approaches, it was possible to observe a lower rate of error in locating
the fiducial points of the face. It was also possible to determine a configuration that best
met the criteria listed in this study, based on an analysis of the results obtained through a
questionnaire to survey the opinions of a set of volunteers.