@InProceedings{JúniorMedeBezeUshi:2011:CoDeWi,
author = "J{\'u}nior, I{\'a}lis Cavalcante de Paula and Medeiros,
F{\'a}tima Nelsizeuma Sombra de and Bezerra, Francisco Nivando
and Ushizima, Daniela Mayumi",
affiliation = "{Universidade Federal do Cear{\'a}} and {Universidade Federal do
Cear{\'a}} and Instituto Federal de Educa{\c{c}}{\~a}o,
Ci{\^e}ncia e Tecnologia and {Lawrence Berkeley National
Laboratory}",
title = "Corner detection within a multiscale framework",
booktitle = "Proceedings...",
year = "2011",
editor = "Lewiner, Thomas and Torres, Ricardo",
organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "corner detection, high curvature points (HCP), shape
reconstruction, curvature space-scale (CSS).",
abstract = "We present a new multiscale method for corner detection. The
proposed algorithm embodies an undecimated wavelet decomposition
of the angulation signal of a shape contour to identify
significant points on it. It detects peaks that persist through
several scales from the correlation signal between scales of its
non-orthogonal sub-band decompositions. These peaks correspond to
high curvature points (HCPs). Furthermore, we compare the proposed
method with others available in the literature, including the
well-known curvature scale-space (CSS) method. The quantitative
assessment of the algorithms is provided by some figures of merit
(FOM) measures that indicate which method better detects the
relevant points in terms of compaction and shape reconstruction.",
conference-location = "Macei{\'o}, AL, Brazil",
conference-year = "28-31 Aug. 2011",
doi = "10.1109/SIBGRAPI.2011.10",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.10",
language = "en",
ibi = "8JMKD3MGPBW34M/3A3M2HE",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3A3M2HE",
targetfile = "Camera_Ready_SIBGRAPI.pdf",
urlaccessdate = "2024, Apr. 30"
}