Abstract
Scalable Poisson disk sampling technique is one of the most powerful NPR techniques to generate artistic images from input photos. It can generate various artistic images, for example watercolor painting, oil painting, colored paper mosaic, and more. However, a weak point of the scalable Poisson disk sampling technique is to take long time. We propose and develop a fast scalable Poisson disk sampling technique by referring pre-sampled data. Experimental results show that our proposed method can reduce computational time of various types of artistic images.
