Adaptive image translation for painterly rendering

Hara Kenji, Kohei Inoue, Kiichi Urahama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)


    In the paper, we present a new method of converting a photo image to a synthesized painting image following the painting style of an example painting image.The proposed method uses a hierarchical and adaptive patch-based approach to both the synthesis of painting styles and preservation of scene details.This approach can be summarized as follows. The input photo image is represented as a set of patches divided adaptively using a distance transform technique. Then the mapping between the input photo and example painting images is efficiently inferred using Bayesian belief propagation recursively.

    Original languageEnglish
    Title of host publicationProceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
    Number of pages4
    Publication statusPublished - 2005
    Event9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan
    Duration: May 16 2005May 18 2005


    Other9th IAPR Conference on Machine Vision Applications, MVA 2005
    CityTsukuba Science City

    All Science Journal Classification (ASJC) codes

    • Computer Vision and Pattern Recognition


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