Adaptive image translation for painterly rendering

Hara Kenji, Kohei Inoue, Kiichi Urahama

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

1 Citation (Scopus)

Abstract

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
Pages566-569
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

Other

Other9th IAPR Conference on Machine Vision Applications, MVA 2005
CountryJapan
CityTsukuba Science City
Period5/16/055/18/05

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Cite this

Kenji, H., Inoue, K., & Urahama, K. (2005). Adaptive image translation for painterly rendering. In Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 (pp. 566-569)