@InProceedings{CamaraNetoCamp:2010:ImImFe,
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}",
title = "On the Improvement of Image Feature Matching under Perspective
Transformations",
booktitle = "Proceedings...",
year = "2010",
editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "visual features correspondence, image matching.",
abstract = "This paper presents a novel methodology to perform consistent
matching between visual features of a pair of images, particularly
in the case of point-of-view changes between shots. Traditionally,
such correspondences are determined by computing the similarity
between descriptor vectors associated with 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 both in accuracy and the
number of successful matches.",
conference-location = "Gramado, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.31",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.31",
language = "en",
ibi = "8JMKD3MGPBW34M/3869EA2",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3869EA2",
targetfile = "sibgrapi2010vilarnt-matching.pdf",
urlaccessdate = "2024, May 03"
}