Image-Based Comic Portrait Generation

• Main Authors: Juan, Chiao-Kai, 阮喬愷
• Other Authors: Shih, Zen-Chung
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/37040738007277836263

碩士 === 國立交通大學 === 多媒體工程研究所 === 97 === The Comics, Ninth Art, gets more and more important in the entertainment industry, like movies and games. The comic artists use the particular brushwork and contour to express the rich content and visual effects. Especially the exquisite portrait painting that comics fan is spellbound. Creating a portrait in the style of a particular comic artistic is a difficult problem. In this paper, we introduce an NPR system to generate Human Portrait in Comic style. From observation, we found out that there are three parts of element in Comic Art style:1) facial contour, 2) hair component, and 3) hatching of shadow. So our system process these part individually, make these three parts are stylized in Comic style. At first, we input a human face photo, and the feature point of human face. And then we simulate the comic artist painting style in the three parts. Finally, users may generate a Comic style portrait easily by using our system without any painting skill.