| 摘要: |
| 近几年计算审美已成为一个活跃的研究方向，但现有工作主要以照片和油画作为研究对象.水墨画以水墨为主，以颜色为辅来表现物体，因而在视觉特征上与照片和油画有显著不同.提出一个水墨画的计算审美评估框架.该框架首先提取水墨画中的颜色、构图和纹理特征，然后用著名画家齐白石的60幅国画作品进行验证.具体先对这些作品进行人工审美评分，然后将计算的特征变量和人工审美评估数据回归得到一个计算审美评估模型.实验结果表明，该模型计算审美评估结果与人工审美评估结果之间的皮尔森相关系数达到0.949.该工作为水墨画作品审美评估提供了一个参考框架，而且有助于进一步探索人类审美与从水墨画中提取可计算视觉特征之间的关系. |
| 关键词: 计算审美 水墨画 特征提取 人工评估 回归分析 |
| DOI： |
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| 基金项目:国家自然科学基金（61379069)；国家重点科技支撑计划（2014BAK09B04)；国家社会科学基金重大项目（12&ZD231)；浙江省自然科学基金（LG14E050010) |
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| Computational Aesthetic Evaluation of Chinese Wash Paintings |
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ZHANG Jia-Jing1, PENG Ren2, WANG Jian3, YU Jin-Hui1
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1.State Key Laboratory of CAD & CG(Zhejiang University), Hangzhou 310058, China;2.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China;3.Department of Psychology, College of Education, Zhejiang University, Hangzhou 310007, China
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| Abstract: |
| Computational aesthetics has become an active research area in recent years, but current works mainly focus on aesthetic evaluation of photographs and oil paintings. Chinese wash painting differs significantly from photograph and oil painting in visual features because it uses ink blended with water and a few colors to depict objects. This paper proposes a framework for computational aesthetic evaluation of Chinese wash paintings. The framework first extracts several features in color, composition and texture from Chinese wash paintings, and then uses 60 Chinese paintings by the famous artist Qi Baishi to verify it. Specifically, human ratings of aesthetics are conducted on these paintings and human evaluated aesthetics are regressed on calculated feature variables to obtain the computational aesthetic evaluation model. Experimental results show that the Pearson correlation coefficient between the computational aesthetic evaluation results and human aesthetic evaluation results is 0.949. This paper provides a reference framework for aesthetic evaluation of Chinese wash paintings, and also furthers the understanding of the relationship between human aesthetics and computational visual features extracted from Chinese wash paintings. |
| Key words: computational aesthetics Chinese wash painting feature extraction human evaluation regression analysis |
