时间：9:30am - 10:30am，Dec. 26（周二）, 2012讲者：Prof. Xiaoyang Mao,University of Yamanashi, Japan地址：Room 305, Computer Building, Fudan Zhangjiang Campus联系人：张文强 wqzhang@fudan.edu.cnAbstract:Compared with photographs, paintings and drawings can often convey information more effectively through emphasizing what is relevant while omitting extraneous details. A skilled artist can successfully direct the viewer’s attention to the focus by accentuating the focus through changing the rendering parameters in the picture. The advance of non-photo-realistic rendering technology in the past decade has made it possible to simulate various kinds of traditional artistic media. However, automatically creating true expressive painterly images remains to be a challenge. The difficulty mainly lies in the subjectivity of information selection. Given the same scene, different artists may create very different works by emphasizing different areas or objects, depending on how they perceive or understand the scene as well as what kind of subjects they want to express. In this talk, I am going to introduce two of our recent work on applying perceptual models for automatic creating painterly images. In the first work, we utilizes saliency map, a computational model for visual attention, to predict the focus of attention in the input image. By adapting the local rendering parameters to the saliency value, we succeeded in generating pencil drawing images simulating the effects of emphasis and eliminations found in human drawn pencil drawings. In the second work, we developed a new technique for artistic style transferring by considering the perceptual structure matching between source image and target image. Given a photograph, our technique first searches for an existing art work of similar scene using the computational model of GIST perception, and then transfers both the color and brush texture from it by considering the structure matching between two images.Short Bio:Prof. Mao received her B.S. in Computer Science from Fudan University, M.S. and Ph.D in Computer Science from University of Tokyo. She is currently a professor at Interdisciplinary Graduate School of Medical and Engineering, University of Yamanashi, Japan. Her research interests include image processing, computer graphics, visualization and human-computer interaction.
