An Analysis and Implementation of the Harris Corner Detector

被引：33

作者：

Sanchez, Javier ^{[1
]}

Monzon, Nelson ^{[2
]}

Salgado, Agustin ^{[1
]}

机构：

[1] Univ Las Palmas Gran Canaria, Dept Comp Sci, CTIM, Las Palmas Gran Canaria, Spain

[2] Univ Paris Saclay, Ecole Normale Super, CMLA, Paris, France

来源：

IMAGE PROCESSING ON LINE | 2018年 / 8卷

关键词：

Harris corner; feature detector; interest point; autocorrelation matrix; non-maximum suppression;

D O I：

10.5201/ipol.2018.229

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this work, we present an implementation and thorough study of the Harris corner detector. This feature detector relies on the analysis of the eigenvalues of the autocorrelation matrix. The algorithm comprises seven steps, including several measures for the classification of corners, a generic non-maximum suppression method for selecting interest points, and the possibility to obtain the corners position with subpixel accuracy. We study each step in detail and propose several alternatives for improving the precision and speed. The experiments analyze the repeatability rate of the detector using different types of transformations.

引用

页码：305 / 328

页数：24

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