@InProceedings{BastosOliv:1994:ImSaRe,
author = "Bastos, Rui Manuel Ribeiro de and Oliveira Neto, Manuel Menezes
de",
affiliation = "{Centro Nacional de Supercomputa{\c{c}}{\~a}o (CESUP) da
Universidade Federal do Rio Grande do Sul (UFRGS)} and {Centro
Nacional de Supercomputa{\c{c}}{\~a}o (CESUP) da Universidade
Federal do Rio Grande do Sul (UFRGS)}",
title = "Improved sampling and reconstruction in radiosity",
booktitle = "Anais...",
year = "1994",
editor = "Freitas, Carla dal Sasso and Geus, Klaus de and Scheer,
S{\'e}rgio",
pages = "255--262",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 7. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "radiosity, reconstruction techniques, realistic imagery,
reconstruction in radiosity.",
abstract = "Radiosity is a sampling and reconstruction method that
approximates radiance function of real environments. Bad scene
sampling leads to many artifacts in final images. Discontinuity
meshing can provide initial meshing that warrants good sampling
for regions with discontinuities in the illumination function.
Although, that technique is unable to work in regions with no
discontinuities. In such situations, adaptive subdivision can
improve sampling. Even using adequate sampling, bad results are
achieved if inadequate reconstruction of illumination functions.
This paper analyses different combinations of sampling and
reconstruction techniques and their contributions to improve
realistic imagery.",
conference-location = "Curitiba, PR, Brazil",
conference-year = "9-11 Nov. 1994",
isbn = "978-85-7669-272-0",
language = "en",
ibi = "8JMKD3MGPBW34M/3DEAJQ2",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DEAJQ2",
targetfile = "34 Improved sampling and reconstruction in radiosity.pdf",
type = "Realismo e Visualiza{\c{c}}{\~a}o",
volume = "1",
urlaccessdate = "2024, May 01"
}