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.
|Title of host publication||Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017|
|Publisher||IEEE Computer Society|
|Number of pages||9|
|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
|Name||IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops|
|Conference||30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017|
|Period||21/07/17 → 26/07/17|
Bibliographical notePublisher Copyright:
© 2017 IEEE.
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering