ARRUDA, F. A. P. V.; http://lattes.cnpq.br/6388763736916508; ARRUDA, Francisco de Assis Pereira Vasconcelos de.
Resumo:
Non-photorealistic rendering (NPR) is an area common to both computer
graphics and digital image processing, which focuses on generating simple
and comprehensible images from complex scenes, using various levels of
abstraction. In this context, sketches are one of the most common and
efficient illustration abstractions, being used in many fields, such as
animation schemes, entertainment, and advertisement. In this work a
technique to automatically enable NPR renderings, which resemble semidetailed
sketches of human frontal faces, from digital images is presented
and evaluated.
The following aspects of the sketch generation have been addressed:
(i) pre-processing (color constancy, blurring and histogram transformation)
of face images and verification of image quality improvement; (ii) neural
network use for edge and boundary detection; (iii) post-processing for
improving final results and removing spurious artifacts; (iv) experimental
assessment of the produced renderings by objective metrics (PSNR, FoM,
SSIM); (v) and validation of the results by an experimental subjective
assessment, based on a user voting scheme.
