Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets

Jonas Lukasczyk, Christoph Garth, Matthew Larsen, Wito Engelke, Ingrid Hotz, David Rogers, James Ahrens, Ross MacIejewski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a framework that fully leverages the advantages of a deferred rendering approach for the interactive visualization of large-scale datasets. Geometry buffers (G-Buffers) are generated and stored in situ, and shading is performed post hoc in an interactive image-based rendering front end. This decoupled framework has two major advantages. First, the G-Buffers only need to be computed and stored once-which corresponds to the most expensive part of the rendering pipeline. Second, the stored G-Buffers can later be consumed in an image-based rendering front end that enables users to interactively adjust various visualization parameters-such as the applied color map or the strength of ambient occlusion-where suitable choices are often not known a priori. This paper demonstrates the use of Cinema Darkroom on several real-world datasets, highlighting CD's ability to effectively decouple the complexity and size of the dataset from its visualization.

Original languageEnglish (US)
Title of host publicationProceedings - 2020 IEEE 10th Symposium on Large Data Analysis and Visualization, LDAV 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-41
Number of pages5
ISBN (Electronic)9781728184685
DOIs
StatePublished - Oct 2020
Event10th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2020 - Virtual, Salt Lake City, United States
Duration: Oct 25 2020 → …

Publication series

NameProceedings - 2020 IEEE 10th Symposium on Large Data Analysis and Visualization, LDAV 2020

Conference

Conference10th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2020
Country/TerritoryUnited States
CityVirtual, Salt Lake City
Period10/25/20 → …

Keywords

  • Deferred Rendering
  • Image Databases
  • Image-Based Shading
  • In Situ Visualization
  • Post Hoc Analysis

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems and Management
  • Media Technology

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