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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59963

    Title: Revision of Using Eigenvalues of Covariance Matrices in Boundary-Based Corner Detection
    Other Titles: 修正使用共變異數矩陣的特徵值作為以邊緣為基礎的角點偵測
    Authors: Horng, Wen-Bing;Chen, Chun-Wen
    Contributors: 淡江大學資訊工程學系
    Keywords: Corner detection;Cvariance matrix;Curvature estimation;eigenvalue;Measure of significance
    Date: 2009-09
    Issue Date: 2011-10-05 22:30:51 (UTC+8)
    Publisher: Tokyo: Denshi Jouhou Tsuushin Gakkai
    Abstract: In this paper, we present a revision of using eigenvalues of covariance matrices proposed by Tsai et al. as a measure of significance (i.e., curvature) for boundary-based corner detection. We first show the pitfall of Tsai et al.'s approach. We then further investigate the properties of eigenvalues of covariance matrices of three different types of curves and point out a mistake made by Tsai et al.'s method. Finally, we propose a modification of using eigenvalues as a measure of significance for corner detection to remedy their defect. The experiment results show that under the same conditions of the test patterns, in addition to correctly detecting all true corners, the spurious corners detected by Tsai et al.'s method disappear in our modified measure of significance.
    Relation: IEICE Transactions on Information and Systems E92-D(9), pp.1692-1701
    DOI: 10.1587/transinf.E92.D.1692
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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