Artículos de revistas
Classifying Skies From Images: A Multidimensional Approach To Detecting High Dynamic Range Imaging Attributes
Registro en:
Lighting Research & Technology. Sage Publications Ltd, v. 48, p. 559 - 572, 2016.
1477-1535
1477-0938
WOS:000382481000005
10.1177/1477153516637231
Autor
Souza
D. F.; Scarazzato
P. S.; Pedrini
H.
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 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. 48 5 559 572 Sao Paulo Research Foundation (FAPESP) [2011/10314-7] Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)