@InProceedings{BellonCastTozz:1995:SeImPr,
author = "Bellon, Olga Regina Pereira and Castanho, Jos{\'e} Eduardo Cogo
and Tozzi, Cl{\'e}sio Luis",
affiliation = "{Departamento de Inform{\'a}tica da Universidade Federal do
Paran{\'a} (UFPR)} and {Departamento de Engenharia El{\'e}trica
da Faculdade de Engenharia e Tecnologia da Universidade Estadual
Paulista J{\'u}lio de Mesquita Filho (UNESP)} and {Departamento
de Engenharia de Computa{\c{c}}{\~a}o e Automa{\c{c}}{\~a}o da
Faculdade de Engenharia El{\'e}trica da Universidade Estadual de
Campinas (UNICAMP)}",
title = "Segmenta{\c{c}}{\~a}o/reconstru{\c{c}}{\~a}o de imagens de
profundidade associando detec{\c{c}}{\~a}o de bordas e
agrupamento",
booktitle = "Anais...",
year = "1995",
editor = "Lotufo, Roberto de Alencar and Mascarenhas, Nelson Delfino
d'{\'A}vila",
pages = "219--226",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 8. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "range image, range image segmentation, reconstruction, clustering,
edge detection, plane fitting.",
abstract = "In the last years, range sensor technology has been greatly
enhanced enabling range images to be more used in computer vision
applications. The explicit presence of the range information
eliminates the need for processing the image with the objective of
extracting 3D information, which is usual with intensity image.
Although, other questions remain such as segmentation and
reconstruction. The main techniques used to solve the
segmentation/reconstruction problem in range image are region
growing, split and merge, and clustering. Region growing and
split-and-merge algorithms present the problem that they have to
deal with threshold values that are difficult to obtain.
Clustering algorithms suffer less influence of this kind of
problem, although other problems exist. A
segmentation/reconstruction technique based on the clustering
approach is presented to approximate regions of a range image by
planes. The main goal is to reconstruct the image with a minimum
error and with simplicity. The association with techniques of
range edge detection is proposed to minimize problems of the
clustering techniques. Some reconstruction results using simulated
images are presented.",
conference-location = "S{\~a}o Carlos, SP, Brazil",
conference-year = "25-27 Oct. 1995",
isbn = "978-85-7669-273-7",
language = "pt",
ibi = "8JMKD3MGPBW34M/3DJCFUB",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3DJCFUB",
targetfile = "28 Segmentacao _ reconstrucao.pdf",
type = "Vis{\~a}o por Computador",
urlaccessdate = "2024, Apr. 27"
}