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 language | English |
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| Title of host publication | Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 |
| Pages | 566-569 |
| Number of pages | 4 |
| Publication status | Published - 2005 |
| Event | 9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan Duration: May 16 2005 → May 18 2005 |
Other
| Other | 9th IAPR Conference on Machine Vision Applications, MVA 2005 |
|---|---|
| Country/Territory | Japan |
| City | Tsukuba Science City |
| Period | 5/16/05 → 5/18/05 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition