Abstract | ||
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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. |
Year | DOI | Venue |
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2020 | 10.1109/LDAV51489.2020.00011 | 2020 IEEE 10th Symposium on Large Data Analysis and Visualization (LDAV) |
Keywords | DocType | ISSN |
Deferred Rendering,Image Databases,In Situ Visualization,Post Hoc Analysis,Image-Based Shading | Conference | 2373-7514 |
ISBN | Citations | PageRank |
978-1-7281-8469-2 | 0 | 0.34 |
References | Authors | |
16 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jonas Lukasczyk | 1 | 23 | 5.15 |
Christoph Garth | 2 | 751 | 50.85 |
Matthew Larsen | 3 | 1 | 3.40 |
Wito Engelke | 4 | 11 | 2.24 |
Ingrid Hotz | 5 | 385 | 32.95 |
david h rogers | 6 | 21 | 6.21 |
James Ahrens | 7 | 233 | 35.07 |
Ross Maciejewski | 8 | 149 | 18.52 |