Name
Abstract | ||
|---|---|---|
A simple and efficient method is presented to enhance the depth perception of an image. The approach termed Depth-Stretch (D-stretch) is a tone mapping operation that is applied to the shading component of the given image. Although re-rendering a scene under geometric transformations typically requires extracting the 3D model of the scene, we show that under very simple assumptions D-stretch can be implemented without 3D reconstruction, while still providing a convincing effect of depth enhancement. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CVPRW.2017.137 | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
Field | DocType | ISSN |
Computer vision,Computer graphics (images),Depth enhancement,Computer science,Transformation geometry,Image coding,Tone mapping,Solid modeling,Artificial intelligence,Depth perception,3D reconstruction,Shading | Conference | 2160-7508 |
Citations | PageRank | References |
0 | 0.34 | 22 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hagit Zabrodsky Hel-Or | 1 | 371 | 28.19 |
| Yacov Hel-Or | 2 | 461 | 40.74 |
| Renato Keshet | 3 | 338 | 27.26 |