The Japanese Journal of the Institute of Industrial Applications Engineers
Online ISSN : 2187-5146
Print ISSN : 2189-373X
ISSN-L : 2187-5146
Paper
Scene Recognition using SIFT Image Features for Mobile Robots
Yasufumi ToumaHayato HagiwaraKenichi AsamiMochimitsu Komori
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JOURNAL OPEN ACCESS

2013 Volume 1 Issue 2 Pages 39-46

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Abstract

This paper presents the scene recognition method using SIFT (Scale Invariant Features Transform) image features descriptor for the purpose of position revision of the mobile robot. The SIFT features descriptor has robustness for scale, rotation, and illumination in the scene image. Therefore, the mobile robot can benefit from such a characteristic in the time/space changing environment. In this proposal, the horizontal shifting distance between two scene images is calculated from the correspondence of SIFT features.

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© 2013 The Institute of Industrial Applications Engineers
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