Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/327754
Type: Artigo
Title: Classifying Skies From Images: A Multidimensional Approach To Detecting High Dynamic Range Imaging Attributes
Author: Souza
D. F.; Scarazzato
P. S.; Pedrini
H.
Abstract: Although the development of high dynamic range images allowed broadening sky vault analysis for lighting research purposes, the sky classification is still performed using subjective methods. There is no established metric for comparison, only isolated approaches that do not address the characteristics of the images. This paper presents a proposed multidimensional method for analysing light from sky vault high dynamic range images. A Matlab routine was applied. It uses a classification system to check the relevance of each image attribute, choosing the most suitable sky model from the ISO 15469:2004 (CIE S 011/E:2003) standard. The results, that can be plotted or exported, indicate that the routine is able to choose the most relevant model for the photographed sky, thus allowing the creation of a sky classification database.
Editor: Sage Publications LTD
London
Rights: fechado
Identifier DOI: 10.1177/1477153516637231
Address: http://journals.sagepub.com/doi/abs/10.1177/1477153516637231
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
000382481000005.pdf1.18 MBAdobe PDFView/Open


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