View Dependent Tone Mapping of HDR Panoramas for Head Mounted Displays

Steve Cutchin, Yuan Li

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

Head mounted display(HMD)s are characterized by relatively low resolution and low dynamic range. These limitations significantly reduce the visual quality of photorealistic captures on such displays. In this paper we present an interactive view dependent tone mapping technique for viewing up to 16K wide high dynamic range panoramas on HMDs via view-adjusted mapping function stored in separate texture file. We define this technique as ToneTexture. The use of a view adjusted tone mapping allows for expansion of the perceived color space available to the end user. This yields an improved visual appearance of both high dynamic range panoramas and low dynamic range panoramas on such displays. We present comparisons of the results produced by this technique against Reinhard tone mapping operators. Demonstration systems are available for WebGL and head mounted displays such as Oculus Rift and GearVR.

Original languageAmerican English
Title of host publicationICAT-EGVE 2016: International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
EditorsDirk Reiners, Daisuke Iwai, Frank Steinicke
Pages29-36
Number of pages8
ISBN (Electronic)9783038680123
DOIs
StatePublished - 1 Jan 2016
Event26th International Conference on Artificial Reality and Telexistence, ICAT 2016 and the 21st Eurographics Symposium on Virtual Environments, EGVE 2016 - Little Rock, United States
Duration: 7 Dec 20169 Dec 2016

Publication series

NameInternational Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, ICAT-EGVE 2016

Conference

Conference26th International Conference on Artificial Reality and Telexistence, ICAT 2016 and the 21st Eurographics Symposium on Virtual Environments, EGVE 2016
Country/TerritoryUnited States
CityLittle Rock
Period7/12/169/12/16

Keywords

  • computer graphics
  • picture/image generation—viewing algorithms

EGS Disciplines

  • Computer Sciences

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