摘要
线条画作为一种简单而有效的视觉传达手段,通过突出主要的细节特征,使得人们可以快速地获得主要信息;同时,风格线条画作为一种艺术形式,让人们能够快速欣赏和理解其艺术特征.文中对线条画的生成方法进行了综述与分析.线条画生成技术可以分为基于2D图像的方法与基于3D模型的方法.其中,基于2D图像的线条画生成技术包括样本学习方法、非样本学习的数据驱动方法与非数据驱动方法;基于3D模型的线条画生成技术包括图像空间方法、对象空间方法以及两者的混合方法.通过介绍与分析各种方法并对比分析其优缺点,总结了线条画生成技术现阶段存在的问题及其可能的解决方案,并在此基础上对线条画生成的未来发展趋势进行了展望.
Line drawing has a great advantage in the transmission of visual information.As a simple and effective means of visual communication,it stresses main features of the details so that people can get the main information quickly.At the same time,stylized line drawing,as an art form,enables people to appreciate and understand their artistic characte-ristics quickly.Line drawing generation technology can be divided into 2D image-based methods and 3D image-based methods.Line drawing generation technology based on 2D images includes deep learning method and traditional me-thod,which contains data drive method and non-data-driven method.Line drawing generation technology based on 3D model contains image space method,object space method and their blending method.By introducing and analyzing va-rious methods and analyzing the advantages and disadvantages of different methods with comparisons among them,this paper summarized the existing problems of line drawing generation technology and their possible solutions.And on this basis,the future development trend of line painting was prospected.
作者
刘子奇
刘世光
LIU Zi-qi;LIU Shi-guang(College of Intelligence and Computing,Tianjin University,Tianjin 300350,China)
出处
《计算机科学》
CSCD
北大核心
2019年第7期13-21,共9页
Computer Science
基金
国家自然科学基金(61672375,61170118)资助