Cinema Darkroom: A Deferred Rendering Framework for Large-Scale DatasetsShow others and affiliations
2020 (English)In: 2020 IEEE 10TH SYMPOSIUM ON LARGE DATA ANALYSIS AND VISUALIZATION (LDAV), IEEE , 2020, p. 37-41Conference paper, Published paper (Refereed)
Abstract [en]
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 CDs ability to effectively decouple the complexity and size of the dataset from its visualization.
Place, publisher, year, edition, pages
IEEE , 2020. p. 37-41
Series
Symposium on Large Data Analysis and Visualization, ISSN 2373-7514
Keywords [en]
Deferred Rendering; Image Databases; In Situ Visualization; Post Hoc Analysis; Image-Based Shading
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-176153DOI: 10.1109/LDAV51489.2020.00011ISI: 000649742300005ISBN: 9781728184685 (print)OAI: oai:DiVA.org:liu-176153DiVA, id: diva2:1562001
Conference
10th IEEE Symposium on Large Data Analysis and Visualization (LDAV), ELECTR NETWORK, oct 25, 2020
Note
Funding Agencies|U.S. Department of Homeland SecurityUnited States Department of Homeland Security (DHS) [2017-ST-061-QA0001, 17STQAC00001-03-03]; National Science Foundation ProgramNational Science Foundation (NSF) [1350573]; German research foundation (DFG)German Research Foundation (DFG) [IRTG 2057]; Swedish Foundation for Strategic Research (SSF)Swedish Foundation for Strategic Research [BD15-0082]; SeRC (Swedish e-Science Research Center); ELLIIT environment for strategic research in Sweden
2021-06-082021-06-082021-06-08