2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2017)
Honolulu, Hawaii, USA
July 21, 2017 to July 26, 2017
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.
Three-dimensional displays, Mathematical model, Solid modeling, Lighting, Cameras, Image coding, Two dimensional displays
Hagit Hel-Or, Yacov Hel-Or, Renato Keshet, "Depth-Stretch: Enhancing Depth Perception Without Depth", 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), vol. 00, no. , pp. 1006-1014, 2017, doi:10.1109/CVPRW.2017.137