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First EAI International Conference on Computer Science and Engineering

Research Article

Texture Synthesis and Design based on Elements Distribution Creation

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  • @INPROCEEDINGS{10.4108/eai.27-2-2017.152281,
        author={Yan Gui and Yang Liu and Feng Li},
        title={Texture Synthesis and Design based on Elements Distribution Creation},
        proceedings={First EAI International Conference on Computer Science and Engineering},
        publisher={EAI},
        proceedings_a={COMPSE},
        year={2017},
        month={3},
        keywords={Deterministic texture; Texture elements; Element distributions; Texture design; Texture synthesis},
        doi={10.4108/eai.27-2-2017.152281}
    }
    
  • Yan Gui
    Yang Liu
    Feng Li
    Year: 2017
    Texture Synthesis and Design based on Elements Distribution Creation
    COMPSE
    EAI
    DOI: 10.4108/eai.27-2-2017.152281
Yan Gui1,*, Yang Liu, Feng Li
  • 1: Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, Changsha, Hunan, P. R. China, 410114
*Contact email: guiyan122@163.com

Abstract

The texture synthesis and design starts with an initial elements arrangement and expands it outward by using local and global growth, to obtain the new larger distribution of texture elements. There are two types of synthesized distributions, and their diversity consists in changing the layout of texture elements and decreasing or increasing the number of texture elements according to user’s creation. Furthermore, we apply a set of deformation operations to locally change the shapes of texture elements when placing the extracted texture elements into the synthesized distribution, in order to guarantee structure consistency in final synthesized textures. Experimental results show that our method creates a large variety of textures from a given texture sample.

Keywords
Deterministic texture; Texture elements; Element distributions; Texture design; Texture synthesis
Published
2017-03-01
Publisher
EAI
http://dx.doi.org/10.4108/eai.27-2-2017.152281
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