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Depth-Stretch: Enhancing Depth Perception Without Depth

Hagit Hel-Or, Yacov Hel-Or, Renato Keshet

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageAmerican English
Title of host publicationProceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
PublisherIEEE Computer Society
Pages1006-1014
Number of pages9
ISBN (Electronic)9781538607336
DOIs
StatePublished - 22 Aug 2017
Event30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States
Duration: 21 Jul 201726 Jul 2017

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume2017-July

Conference

Conference30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017
Country/TerritoryUnited States
CityHonolulu
Period21/07/1726/07/17

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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