@InProceedings{CamaraNetoCamp:2009:ImMeIm,
author = "Camara Neto, Vilar Fiuza da and Campos, Mario Fernando
Montenegro",
affiliation = "Funda{\c{c}}{\~a}o Centro de An{\'a}lise, Pesquisa e
Inova{\c{c}}{\~a}o Tecnol{\'o}gica (FUCAPI) and {Universidade
Federal de Minas Gerais (UFMG)}",
title = "An Improved Methodology for Image Feature Matching",
booktitle = "Proceedings...",
year = "2009",
editor = "Nonato, Luis Gustavo and Scharcanski, Jacob",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 22.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "image correspondence, feature matching, image registration, SIFT,
SURF.",
abstract = "This paper presents a novel methodology to perform matching
between image points described by their respective features.
Traditionally, such correspondences are determined by computing
the similarity between descriptor vectors associated to each point
which are obtained by invariant descriptors. Our methodology first
obtains a coarse global registration among images, which
constrains the correspondence space. Then, it analyzes the
similarity among descriptors, thus reducing both the number and
the severity of mismatches. The approach is sufficiently generic
to be used with many feature descriptor methods. We present
several experimental results that show significant increase in
accuracy, number of successful matches, and execution time.",
conference-location = "Rio de Janeiro, RJ, Brazil",
conference-year = "11-14 Oct. 2009",
doi = "10.1109/SIBGRAPI.2009.24",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2009.24",
language = "en",
ibi = "8JMKD3MGPBW4/35S5EHS",
url = "http://urlib.net/ibi/8JMKD3MGPBW4/35S5EHS",
targetfile = "PID949585.pdf",
urlaccessdate = "2024, Apr. 27"
}