@InProceedings{BorgesFish:1993:SeAqPa,
author = "Borges, D{\'{\i}}bio L. and Fisher, Robert B.",
affiliation = "{Departament of Artificial Intelligence of University of
Edinburgh} and {Departament of Artificial Intelligence of
University of Edinburgh}",
title = "Segmenta{\c{c}}{\~a}o e aquisi{\c{c}}{\~a}o de partes
gen{\'e}ricas para reconhecimento",
booktitle = "Anais...",
year = "1993",
editor = "Figueiredo, Luiz Henrique de and Gomes, Jonas de Miranda",
pages = "231--237",
organization = "Simp{\'o}sio Brasileiro de Computa{\c{c}}{\~a}o Gr{\'a}fica e
Processamento de Imagens, 6. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "segmenta{\c{c}}{\~a}o de partes gen{\'e}ricas,
aquisi{\c{c}}{\~a}o de partes gen{\'e}ricas, pe{\c{c}}as
gen{\'e}ricas, objetos 3D.",
abstract = "The ability to acquire generic parts of 3D objects is an important
step for recognition of objects in 3D space. Most natural
articulated objects can be described as having a small number of
salient 3D parts. Range data provides ready-to-use information to
derive a reasonably stable and accurate differential structure of
the surfaces, which allow us to track discontinuities between
these parts. In this paper we present a mixed and comprehensive
approach to segmenting and extracting prototypical parts from 3D
articulated objects. This approach enables the acquisition of
generic volumetric parts of a 3D object for the purpose of
recognition.",
conference-location = "Recife, PE, Brazil",
conference-year = "19-22 Oct. 1993",
isbn = "978-85-7669-271-3",
language = "pt",
ibi = "8JMKD3MGPBW34M/3D85H9H",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3D85H9H",
targetfile = "27 Segmentacao e aquisicao de partes.pdf",
type = "Vis{\~a}o por Computador",
volume = "1",
urlaccessdate = "2024, May 03"
}