Characterization of keypoints in images

Markus Michaelis; Gerald Sommer

doi:10.1117/12.172524

1 February 1994 Characterization of keypoints in images

Markus Michaelis, Gerald Sommer

Proceedings Volume 2093, Substance Identification Analytics; (1994) https://doi.org/10.1117/12.172524
Event: Substance Identification Technologies, 1993, Innsbruck, Austria

Abstract

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.

Citation Download Citation

Markus Michaelis and Gerald Sommer "Characterization of keypoints in images", Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); https://doi.org/10.1117/12.172524

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