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http://dx.doi.org/10.7780/kjrs.2014.30.6.7

Feature Detection using Geometric Mean of Eigenvalues of Gradient Matrix  

Ye, Chul-Soo (Department of Ubiquitous IT, Far East University)
Publication Information
Korean Journal of Remote Sensing / v.30, no.6, 2014 , pp. 769-776 More about this Journal
Abstract
It is necessary to detect the feature points existing simultaneously in both images and then find the corresponding relationship between the detected feature points. We propose a new feature detector based on geometric mean of two eigenvalues of gradient matrix which is able to measure the change of pixel intensities. The corner response of the proposed detector is proportional to the geometric mean and also the difference of two eigenvalues in the case of same geometric mean. We analyzed the localization error of the feature detection using aerial image and artificial image with various types of corners. The localization error of the proposed detector was smaller than that of the typical corner detector, Harris detector.
Keywords
Corner Response; Corner Detector; Geometric Mean; Feature Detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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