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Open Access Green as soon as Postprint is submitted to ZB.
Characterization of keypoints in images.
Proc. SPIE 2093, 450-461 (1994)
In this contribution we investigate the performance of steerable functions to characterize keypoints. Steerable functions were introduced recently by Perona as an efficient method to calculate the response of a filter in a continuum of orientations, scales, and other parameters. For the analysis of points with events at multiple orientations, functions with a high orientational resolution are needed. We discuss criteria to judge the quality of a function to serve for orientation analysis. To handle line as well as edge junctions, we use a complex function with the real and imaginary part approximately in quadrature. An associated one-sided function allows to distinguish between terminating and nonterminating edges and lines. To analyze thick lines and blurred edges the function is also steered in scale.
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Publication type
Article: Journal article
Document type
Scientific Article
ISSN (print) / ISBN
0277-786X
e-ISSN
1996-756X
Journal
Proceedings of SPIE
Quellenangaben
Volume: 2093,
Pages: 450-461
Publisher
SPIE
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Department for Medical Information Systems (MEDIS)