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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
| Publisher | IEEE Computer Society |
| Pages | 1006-1014 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781538607336 |
| DOIs | |
| State | Published - 22 Aug 2017 |
| Event | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States Duration: 21 Jul 2017 → 26 Jul 2017 |
Publication series
| Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
|---|---|
| Volume | 2017-July |
| ISSN (Print) | 2160-7508 |
| ISSN (Electronic) | 2160-7516 |
Conference
| Conference | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
|---|---|
| Country/Territory | United States |
| City | Honolulu |
| Period | 21/07/17 → 26/07/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering