@InProceedings{BorgesOrrFish:1994:RaBaFu,
author = "Borges, D{\'{\i}}bio Leandro and Orr, Mark J. and Fisher, Robert
B.",
affiliation = "{Department of Artificial Intelligence of Edinburgh University}
and {Centre for Cognitive Science of Edinburgh University} and
{Centre for Cognitive Science of Edinburgh University}",
title = "A radial basis function neural network for parts identification of
three dimensional shapes",
booktitle = "Anais...",
year = "1994",
editor = "Freitas, Carla dal Sasso and Geus, Klaus de and Scheer,
S{\'e}rgio",
pages = "77--84",
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 = "function neural, function neural, image understanding.",
abstract = "This discrimination of volumetric pieces or parts of objects from
range data is one key element for achieving 3-D object
recognition. In this paper it is shown that previously segmented
and acquired super quadrics from range data can be reliably mapped
into a set of qualitative volumetric shapes (geons) by means of an
RBF (Radial Basis Function) neural network classifier. We use a
regularized RBF classifier and the results are shown to be both
reliable and efficient in the context of range image
understanding.",
conference-location = "Curitiba, PR, Brazil",
conference-year = "9-11 Nov. 1994",
isbn = "978-85-7669-272-0",
language = "en",
ibi = "8JMKD3MGPBW34M/3DDQLDL",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DDQLDL",
targetfile = "11 A radial basis function neural network.pdf",
type = "Vis{\~a}o Computacional",
volume = "1",
urlaccessdate = "2024, Apr. 29"
}