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Pattern Recognition, International Conference on (2002)
Quebec City, QC, Canada
Aug. 11, 2002 to Aug. 15, 2002
ISSN: 1051-4651
ISBN: 0-7695-1695-X
pp: 20574
Niklas Lüdtke , University of York
Bin Luo , University of York
Edwin Hancock , University of York
Richard C. Wilson , University of York
Corners are important image features whose detection has proved elusive since they are associated with the locations of multiple edge orientation. In this paper, we explicitly model the multiple orientations by using a mixture model based on von Mises edge-direction distributions. In order to infer the parameters of the mixture model, a bank of Gabor filter s is employed. The resulting mixture model of the local contour orientation captures angular information at edges, corners and T-junctions in a single process. A criterion can then be developed which isolates corners as points of multiple edge orientations. We demonstrate the effectiveness of our method on natural images and compare the quantitative performance with a number of popular alternatives in the literature.

R. C. Wilson, N. Lüdtke, B. Luo and E. Hancock, "Corner Detection Using a Mixture Model of Edge Orientation," Pattern Recognition, International Conference on(ICPR), Quebec City, QC, Canada, 2002, pp. 20574.
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