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Use of High Dynamic Range images in mapping sky vault luminance distribution

Grant number: 11/10314-7
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): November 01, 2011
Effective date (End): July 31, 2014
Field of knowledge:Applied Social Sciences - Architecture and Town Planning - Architecture and Urbanism Technology
Principal Investigator:Paulo Sergio Scarazzato
Grantee:Dennis Flores de Souza
Home Institution: Faculdade de Engenharia Civil, Arquitetura e Urbanismo (FEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


The usage of high dynamic range images has become a common expedient in lighting studies, due to the possibilities in the luminance distribution storage in a given scene. Among the existing cameras, the single-lens reflex (SLR) are the most versatile, for their ability to control incident light on the sensor, and the possibility of adjusting the viewing angle by lenses choice. This work will use circular fisheye lenses, since its viewing angle allows to take full hemispheric sky dome shots, a far more comprehensive procedure than that achieved through manual measurements made with luminance meters. Presently, virtual modeling that propose to work with natural lighting use daylight availability data provided by predictive models, such as ISO 15469:2004 (CIE S 011 / E: 2003). The objective of this research is to use HDRI to obtain the sky luminance distribution data. The equipment used will be calibrated according to established methods to state the reliability of data analysis and interpretation. Initially, luminance values obtained in the measurements will be calculated and compared with the mentioned ISO standard. The proposition of an algorithm to extract these data in a simplified manner, from the reading of the image properties, will enable the creation of a automated system and a digital database. The obtained sky luminance distribution can be further used in simulation programs, wich will facilitate the process of virtual modelling that emphasizes reliability, since the input data are derived from measurements of a physical reality. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
SOUZA, D. F.; SCARAZZATO, P. S.; PEDRINI, H. Classifying skies from images: A multidimensional approach to detecting high dynamic range imaging attributes. LIGHTING RESEARCH & TECHNOLOGY, v. 48, n. 5, p. 559-572, AUG 2016. Web of Science Citations: 0.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
SOUZA, Dennis Flores de. Imagens de grande alcance dinâmico aplicadas ao mapeamento da distribuição de luminâncias da abóbada celeste. 2014. Doctoral Thesis - Universidade Estadual de Campinas. Faculdade de Engenharia Civil, Arquitetura e Urbanismo.

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