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
CountryUnited 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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