Abstract | ||
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Recent years have witnessed significant developments of structural image manipulation techniques. Some of these techniques are based on image warping, which stretches image content to satisfy editing constraints. Other techniques are based on texture synthesis, which synthesizes repeated texture to fill the target image domain so that the result resembles the source image. However, it is challenging for both categories of approaches to generate satisfying results when desired object's skeletal structure is far from the original object as shown in Figure 1. In this extended abstract, we present a new structure editing technique that is based on user provided strokes as structure constraints. Users specify a set of strokes indicating the structure of the input object in an image as well as a set of corresponding strokes in the output domain. Then, our method synthesizes the object texture along these strokes according to the direction and position of the corresponding strokes. |
Year | DOI | Venue |
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2013 | 10.1145/2542302.2542318 | SIGGRAPH Asia 2013 Posters |
Keywords | Field | DocType |
image warping,object structure,original object,target image domain,structural image manipulation technique,image content,new structure editing technique,stroke-based editing,source image,corresponding stroke,input object,object texture,3d reconstruction,metropolis hastings | Computer vision,Image manipulation,Image warping,Computer graphics (images),Computer science,Image texture,Image content,Object structure,Artificial intelligence,Texture synthesis,3D reconstruction | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sheng-Jie Luo | 1 | 132 | 9.99 |
Chin-Yu Lin | 2 | 36 | 5.07 |
I-Chao Shen | 3 | 109 | 13.17 |
Bing-Yu Chen | 4 | 1132 | 101.82 |