Reference TypeConference Proceedings
Citation KeyJúniorMedeBezeUshi:2011:CoDeWi
Author1 Júnior, Iális Cavalcante de Paula
2 Medeiros, Fátima Nelsizeuma Sombra de
3 Bezerra, Francisco Nivando
4 Ushizima, Daniela Mayumi
Affiliation1 Universidade Federal do Ceará
2 Universidade Federal do Ceará
3 Instituto Federal de Educação, Ciência e Tecnologia
4 Lawrence Berkeley National Laboratory
TitleCorner detection within a multiscale framework
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society Conference Publishing Services
Conference LocationMaceió
Keywordscorner detection, high curvature points (HCP), shape reconstruction, curvature space-scale (CSS).
AbstractWe 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.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size419 KiB
Number of Files1
Target FileCamera_Ready_SIBGRAPI.pdf
Last Update2011:
Metadata Last Update2011: {D 2011}
Document Stagecompleted
Is the master or a copy?is the master
Content TypeExternal Contribution
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History2011-07-23 15:36:12 :: -> :: 2011
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Access Date2019, Dec. 09