NDLI: Verification of Sky Models for Image Calibration

Content Provider	IEEE Xplore Digital Library
Author	Ramakrishnan, R. Nieto, J. Scheding, S.
Copyright Year	2013
Description	Author affiliation: Univ. of Sydney, Sydney, NSW, Australia (Ramakrishnan, R.; Nieto, J.; Scheding, S.)
Abstract	Perception systems operating in outdoor scenarios face challenges due to the high dynamic range of the image, as different regions are illuminated by varying amounts of sunlight and skylight. A pre-processing step like image calibration can be used to convert the pixel values to an illumination independent domain such as reflectance. Each pixel is therefore represented by a characteristic material description, instead of an illumination and viewpoint dependent pixel colour. This assists object identification, segmentation and classification algorithms. This paper investigates modelling the sky colour through a number of parametric approaches typically used in the computer graphics community for rendering purposes, namely those developed by Preetham and Hosek-Wilkie. The models are compared in terms of chromaticity with observations taken from a camera and are used to develop an environment map for the application of inverse reflectometry of diffuse objects in an outdoor environment. This is of particular importance for applications involving imaging objects whose primary illumination source is skylight. It was found that the Hosek-Wilkie model produced more robust estimations and was less sensitive to changes in azimuth, while both models had similar reconstruction results with angular errors of approximately 0.15 radians.
Starting Page	907
Ending Page	914
File Size	423458
Page Count	8
File Format	PDF
ISBN	9781479930227
DOI	10.1109/ICCVW.2013.124
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-02
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Computational modeling Lighting Cameras Sensors Mathematical model Sun
Content Type	Text
Resource Type	Article

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