Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/14152
Title: Guided high-quality rendering
Authors: Roth, T
Weier, M
Maiero, J
Hinkenjann, A
Li, Y
Issue Date: 2015
Citation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, 9475 pp. 115 - 125
Abstract: © Springer International Publishing Switzerland 2015.We present a system which allows for guiding the image quality in global illumination (GI) methods by user-specified regions of interest (ROIs). This is done with either a tracked interaction device or a mouse-based method, making it possible to create a visualization with varying convergence rates throughout one image towards a GI solution. To achieve this, we introduce a scheduling approach based on Sparse Matrix Compression (SMC) for efficient generation and distribution of rendering tasks on the GPU that allows for altering the sampling density over the image plane. Moreover, we present a prototypical approach for filtering the newly, possibly sparse samples to a final image. Finally, we show how large-scale display systems can benefit from rendering with ROIs.
URI: http://bura.brunel.ac.uk/handle/2438/14152
DOI: http://dx.doi.org/10.1007/978-3-319-27863-6_11
ISBN: 9783319278629
ISSN: 0302-9743
1611-3349
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdf19.92 MBAdobe PDFView/Open


Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.