Example based painting generation  

作　　者：GUO Yan-wen YU Jin-hui XU Xiao-dong WANG Jin PENG Qun-sheng 

机构地区：[1]State Key Lab of CAD ＆ CG, Zhejiang University, Hangzhou 310027, China [2]The National Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China

出　　处：《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》2006年第7期1152-1159,共8页浙江大学学报（英文版）A辑（应用物理与工程）

基　　金：Project supported by the National Basic Research Program (973) of China (No. 2002CB312101) and the National Natural Science Foun-dation of China (Nos. 60403038 and 60373037)

摘　　要：We present an approach for generating paintings on photographic images with the style encoded by the example paintings and adopt representative brushes extracted from the example paintings as the painting primitives. Our system first divides the given photographic image into several regions on which we synthesize a grounding layer with texture patches extracted from the example paintings. Then, we paint those regions using brushes stochastically chosen from the brush library, with further brush color and shape perturbations. The brush direction is determined by a direction field either constructed by a convenient user interactive manner or synthesized from the examples. Our approach offers flexible and intuitive user control over the painting process and style.We present an approach for generating paintings on photographic images with the style encoded by the example paintings and adopt representative brushes extracted from the example paintings as the painting primitives. Our system first divides the given photographic image into several regions on which we synthesize a grounding layer with texture patches extracted from the example paintings. Then, we paint those regions using brushes stochastically chosen from the brush library, with further brush color and shape perturbations. The brush direction is determined by a direction field either constructed by a convenient user interactive manner or synthesized from the examples. Our approach offers flexible and intuitive user control over the painting process and style.

关 键 词：Non-photorealistic rendering （NPR） Van Gogh PAINTING GROUNDING BRUSH 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]