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Adaptive Harris Corner Detection Algorithm Based on B-Spline Function

Published: 26 August 2010 Publication History

Abstract

Harris corner detection is a classic corner detection algorithm, but using Gaussian smoothing filter, there is phenomenon of corner information missing and corner migration. In this paper, to have a data-fitting and low-pass characteristics of B-spline function introduced into the algorithm, construct a new filter, while introducing the idea of image sub-block and the excluding neighboring points to build a B-spline-based adaptive Harris corner detection algorithm. The new corner detection algorithm to extract corner uniformity, positioning accuracy, and noise suppression is good. Through the experiment, the new algorithm significantly improves the image corner detection performance.

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  1. Adaptive Harris Corner Detection Algorithm Based on B-Spline Function

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    Published In

    cover image Guide Proceedings
    IHMSC '10: Proceedings of the 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01
    August 2010
    341 pages
    ISBN:9780769541518

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 26 August 2010

    Author Tags

    1. Adaptive
    2. B-spline function
    3. Corner Detection
    4. Harris operator
    5. Local maxima

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