Validation of Harris Detector and Eigen Features Detector

被引：7

作者：

Kok, K. Y. ^{[1
]}

Rajendran, P. ^{[1
]}

机构：

[1] Univ Sains Malaysia, Sch Aerosp Engn, Engn Campus, Nibong Tebal, Pulau Pinang, Malaysia

来源：

INTERNATIONAL CONFERENCE ON AEROSPACE AND MECHANICAL ENGINEERING (AEROMECH17) | 2018年 / 370卷

关键词：

D O I：

10.1088/1757-899X/370/1/012013

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Harris detector is one of the most common features detection for applications such as object recognition, stereo matching and target tracking. In this paper, a similar Harris detector algorithm is written using MATLAB and the performance is compared with MATLAB built in Harris detector for validation. This is to ensure that rewritten version of Harris detector can be used for Unmanned Aerial Vehicle (UAV) application research purpose yet can be further improvised. Another corner detector close to Harris detector, which is Eigen features detector is rewritten and compared as well using same procedures with same purpose. The simulation results have shown that rewritten version for both Harris and Eigen features detectors have the same performance with MATLAB built in detectors with not more than 0.4% coordination deviation, less than 4% & 5% response deviation respectively, and maximum 3% computational cost error.

引用

页数：6

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