Furry stylized texel-rendering in images and videos

Authors:
Shaohui Jiao;Bin Sheng;Hanqiu Sun;Enhua Wu
Affiliations:
Institute of Software, Chinese Academy of Sciences, Beijing, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong;Institute of Software,Chinese Academy of Sciences, Beijing, China and Faculty of Science and Technology, University of Macau, Macau
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

We present a new method for adding furry effects for cartoon characters in images and videos. We synthesize furry stylized textures based on 3D texel structure. Given an image or a video as input, realistic fur texels are generated and mapped onto the region of interest(ROI) which is obtained using the Snake method. The 3D texels are rendered using Ray Marching algorithm on GPU for fast synthesizing the furry stylized textures. Specifically, fur texels of triangular prism shape are generated in order to be possibly mapped onto the traditional triangular mesh. Gaussian function is also introduced to provide parameters for users to control the fuzz degree. For the video applications, we use SIFT(Scale Invariant Feature Transform) algorithm to extract feature points and calculate the feature matching of the ROI along with the timeline. Experimental results show that the presented method is able to synthesize the furry stylized textures in the input image and generate dynamic fur in a video for better realistic rendering.