Non-photorealistic neural sketching

Brazilian Computer Society. Journal

Francisco de Assis Pereira Vasconcelos Arruda¹  José¹  Eustá¹ 

[1] UFCG, Campina Grande, Brazil

关键词: Non-photorealistic rendering;    Edge detection;    Image sketching;    Statistical analysis;    Neural networks;   

DOI  :  10.1007/s13173-012-0061-y

学科分类：农业科学（综合）

来源: Springer U K

【 摘 要 】

We present and evaluate a neural network-based technique to automatically enable NPR renderings from digital face images, which resemble semi-detailed sketches. The technique has been experimentally evaluated and compared with traditional approaches to edge detection (Canny and Difference of Gaussians, or DoG) and with a more recent variant, specifically designed for stylization purposes (Flow Difference of Gaussians, or FDoG). An objective evaluation showed, after an ANOVA analysis and a Tukey t-test, that the proposed approach was equivalent to the FDoG technique and superior to the DoG. A subjective experiment involving the opinion of human observers proved to be complementary to the objective analysis.

【 授权许可】

CC BY