Title
Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets
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.
Year
DOI
Venue
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 Lukasczyk1235.15
Christoph Garth275150.85
Matthew Larsen313.40
Wito Engelke4112.24
Ingrid Hotz538532.95
david h rogers6216.21
James Ahrens723335.07
Ross Maciejewski814918.52