Loop Closure Detection Using Local Zernike Moment Patterns

被引:2
作者
Sariyanidi, Evangelos [1 ]
Sencan, Onur [1 ]
Temeltas, Hakan [1 ]
机构
[1] Istanbul Tech Univ, Control & Automat Engn Dept, TR-34469 Istanbul, Turkey
来源
INTELLIGENT ROBOTS AND COMPUTER VISION XXX: ALGORITHMS AND TECHNIQUES | 2013年 / 8662卷
关键词
Loop closure; mobile robotics; image processing; SLAM; computer vision;
D O I
10.1117/12.2008473
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper introduces a novel image description technique that aims at appearance based loop closure detection for mobile robotics applications. This technique relies on the local evaluation of the Zernike Moments. Binary patterns, which are referred to as Local Zernike Moment (LZM) patterns, are extracted from images, and these binary patterns are coded using histograms. Each image is represented with a set of histograms, and loop closure is achieved by simply comparing the most recent image with the images in the past trajectory. The technique has been tested on the New College dataset, and as far as we know, it outperforms the other methods in terms of computation efficiency and loop closure precision.
引用
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页数:7
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