Proceedings of the Annual Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2436-4398
Print ISSN : 2436-4371
Proceedings of the 44th Annual Conference of the Institute of Image Electronics Engineers of Japan 2016
Session ID : S4-2
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Similarity detection of Logos Using SIFT Features
*Kazuhiro MIYAMAEDaisuke TAKAGISeiichi GOHSHI
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Abstract

In this paper, we propose a method to objectively find plagiarism of logo using SIFT Features. SIFT feature is robust to the scale change, but the detection position of key point change by the image resolution. Proposed method makes it possible to allow detection of key points by arranging a plurality for simple logo which is difficult to detection of the key points.

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© 2016 The Institute of Image Electronics Engineers of Japan
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