Name
Abstract | ||
|---|---|---|
Recent image compositing methods mainly focus on the compositing for normal images, while for shadow ones, these methods may be less effective due to the special structure in the shadow area. Besides, many of these methods may generate problems of serious color distortion or cannot realize seamless blending. In order to improve these problems, we propose a new hierarchical weighted method based on an alpha matte for image composition, especially for those with shadows. In our method, we divide the blending area into different layers according to the alpha matte, and implement a hybrid method combining gradient based method with transformed alpha blending as well as weights in these layers respectively. By conducting a series of experiments, we demonstrate the superiority of our proposed method. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-13168-9_24 | PCM |
Keywords | Field | DocType |
weight,shadow | Computer vision,Shadow,Alpha compositing,Computer graphics (images),Computer science,Artificial intelligence,Distortion,Compositing | Conference |
Citations | PageRank | References |
0 | 0.34 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huihui Wei | 1 | 0 | 0.68 |
| Qimin Cheng | 2 | 0 | 0.68 |