文献类型：期刊文献

英文题名：Parallel pencil drawing stylization via structure-aware optimization

作者：Chen, Zhihua[1]; Jin, Yuxi[1]; Sheng, Bin[2]; Li, Ping[3]; Sun, Hanqiu[4]

机构：[1] Department of Computer Science and Engineering, East China University of Science and Technology, China; [2] Department of Computer Science and Engineering, Shanghai Jiao Tong University, China; [3] Faculty of Information Technology, Macau University of Science and Technology, China; [4] Department of Computer Science and Engineering, Chinese University of Hong Kong, Hong Kong

年份：2018

起止页码：32

外文期刊名：ACM International Conference Proceeding Series

收录：EI(收录号：20182505317584)

语种：英文

外文关键词：Photography - Atomic physics - Interactive computer graphics

摘要：This paper presents a non-photorealistic rendering technique for stylizing a photograph in the pencil drawing style, which can well preserve the fine structure of the original image. We first construct a structure map from the anti-color image of the original image to model the detailed underlying fine structure of the original image, and generate a coarse pencil drawing image with line integral convolution. Then we refine the coarse pencil drawing image with the structure map for enrich the structure information. The presented algorithm is highly parallel allowing a real-time performance with GPU implementation. Experimental results show that our approach can produce more attractive and impressive pencil drawing effects with a variety of photographs. ? 2018 Association for Computing Machinery.