计算机肖像漫画生成系统分析-analysis of computer portrait cartoon generation system.docxVIP

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计算机肖像漫画生成系统分析-analysis of computer portrait cartoon generation system.docx

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计算机肖像漫画生成系统分析-analysis of computer portrait cartoon generation system

AbstractAs a typical art style, portrait caricature uses simple but exaggerated artistic method to describe facial features, integrating into artist’s personal painting skill as well as subjective feeling.However,it is very difficult for a computer to learn and use the painting skill to create caricature.The painting skill can not be formulated.How to generate caricatures with an artist’s drawing style by computer automatically is a hot topic in the field of computer graphics, full of interest and challenges.In this paper, the research is studied from the image template based caricature generation to non-photorealistic rendering.Firstly,this paper focuses on the facial shape features and facial relation features, which have great impact on generating caricature:The EDFM rule is adopted to exaggerate facial shape features.A statistical learning method is proposed to capture an artist’s painting techniques and drawing style combined with correlation analysis.Secondly,two exaggerate methods are utilized to design a caricature system which has a wider range of applications and richer exaggerate styles.Based on the process of caricature generation, we contribute to addressing several key technical problems on computer caricature generation.This paper is based on the process framework of the computer caricature prototype system.Some key technologies are researched.The main work and achievements are summarized as follows: In the part of facial feature extraction, build our facial model consisted of 105 feature points by referring to Candide-3 facial model.An improved active shape model algorithm is adopted to extract facial feature points;In the part of Exaggeration,for the disadvantages such as unreality and dependence on the number of samples,a new method based on correlation is proposed to lower the dependence and improve reality and lifelikeness;In the part of image deformation,thin plate spline algorithm and grid-based deformation are adopted in this system.At the sam