Name
Abstract | ||
|---|---|---|
Bokeh effect is an artistic effect in photography, which is the out-of-focus blur caused by the camera lens, typically, professional cameras with wide aperture lenses are necessary to obtain the Bokeh effect. In this paper, we propose a computational method to simulate the Bokeh effect with the RGBD data captured by Kinect. The proposed method first refines the depth map by modeling it as an optimization problem with the guidance of the corresponding RGB image; the size of the filter kernel is calculated from the refined depth map afterwards, finally, the RGB image with Bokeh effect is computed by filtering with the varying-sized and varying-shaped kernels. We have conducted experiment on 4 sets of data, and the experiment result suggests that the proposed method is optimistic in computing natural Bokeh effect. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-030-00776-8_67 | ADVANCES IN MULTIMEDIA INFORMATION PROCESSING, PT I |
Keywords | Field | DocType |
Bokeh effect,Depth map refinement,Filter,Kinect | Aperture,Computer vision,Computer science,Filter (signal processing),Camera lens,Photography,Lens (optics),Kernel adaptive filter,Artificial intelligence,Depth map,Bokeh | Conference |
Volume | ISSN | Citations |
11164 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 7 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Yang | 1 | 123 | 28.79 |
| Huiwen Bian | 2 | 1 | 0.35 |
| Yanhong Peng | 3 | 1 | 0.35 |
| Xiangjun Shen | 4 | 50 | 13.58 |
| He-Ping Song | 5 | 7 | 3.32 |