Spectralization: Reconstructing spectra from sparse data

Traditional RGB reflectance and light data suffers from the problem of metamerism and is not suitable for rendering purposes where exact color reproduction under many different lighting conditions is needed. Nowadays many setups for cheap and fast acquisition of RGB or similar trichromatic datasets...

Full description

Saved in:
Bibliographic Details
Published in:Computer graphics forum Vol. 29; no. 4; pp. 1347 - 1354
Main Authors: Rump, Martin, Klein, Reinhard
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.06.2010
Subjects:
Algorithms
Channels
Computer graphics
Computer programming
I.3.3 [Computer Graphics]: Picture/Image Generation-Digitizing and scanning
Illumination
Rendering
Spectra
Spectral lines
Studies
Surface layer
Texture
ISSN:0167-7055, 1467-8659
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Traditional RGB reflectance and light data suffers from the problem of metamerism and is not suitable for rendering purposes where exact color reproduction under many different lighting conditions is needed. Nowadays many setups for cheap and fast acquisition of RGB or similar trichromatic datasets are available. In contrast to this, multi‐ or even hyper‐spectral measurements require costly hardware and have severe limitations in many cases. In this paper, we present an approach to combine efficiently captured RGB data with spectral data that can be captured with small additional effort for example by scanning a single line of an image using a spectral line‐scanner. Our algorithm can infer spectral reflectances and illumination from such sparse spectral and dense RGB data. Unlike other approaches, our method reaches acceptable perceptual errors with only three channels for the dense data and thus enables further use of highly efficient RGB capture systems. This way, we are able to provide an easier and cheaper way to capture spectral textures, BRDFs and environment maps for the use in spectral rendering systems.
Bibliography:ArticleID:CGF1730
istex:6A840880CA8D72AF18DECABB8B39AAEBEBA26549
ark:/67375/WNG-6K8ZTST9-V
e‐mail
,
rk@cs.uni‐bonn.de
rump@cs.uni‐bonn.de
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2010.01730.x