Revision of Using Eigenvalues of Covariance Matrices in Boundary-Based Corner Detection

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/59963

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题名:	Revision of Using Eigenvalues of Covariance Matrices in Boundary-Based Corner Detection
其它题名:	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
作者:	Horng, Wen-Bing;Chen, Chun-Wen
贡献者:	淡江大學資訊工程學系
关键词:	Corner detection;Cvariance matrix;Curvature estimation;eigenvalue;Measure of significance
日期:	2009-09
上传时间:	2011-10-05 22:30:51 (UTC+8)
出版者:	Tokyo: Denshi Jouhou Tsuushin Gakkai
摘要:	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.
關聯:	IEICE Transactions on Information and Systems E92-D(9), pp.1692-1701
DOI:	10.1587/transinf.E92.D.1692
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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