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The dissimilarity corner detector

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conference contribution
posted on 1991-01-01, 00:00 authored by J Cooper, Svetha VenkateshSvetha Venkatesh, L Kitchen
We present a corner detector that works by using dissimilarity along the contour direction to detect curves in the image contour. The operator is fast, robust to noise and almost self-thresholding. The standard deviation of the image noise must be specified, but this value is easily measured and the explicit modeling of image noise contributes to the robustness of the operator to noise. We also present a new interpretation of the Kitchen-Rosenfeld corner operator (1982) in which we show that this operator can also be viewed as the second derivative of the image function along the edge direction.

History

Event

International Conference on Advanced Robotics (5th : 1991 : Pisa, Italy)

Pagination

1377 - 1382

Publisher

IEEE

Location

Pisa, Italy

Place of publication

[Washington, D. C.]

Start date

1991-06-19

End date

1991-06-22

ISBN-10

0780300785

Language

eng

Notes

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Publication classification

E1.1 Full written paper - refereed

Copyright notice

1991, IEEE

Title of proceedings

ICAR 1991 : Proceedings of the 5th International Conference on Advanced Robotics : Robots in Unstructured Environments

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