Effective corner matching for transformed image identification

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Author(s)
Awrangjeb, Mohammad
Lu, Guojun
Griffith University Author(s)
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Ip, HHS

Au, OC

Leung, H

Sun, MT

Ma, WY

Hu, SM

Date
2007
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Hong Kong, China

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Abstract

There are many applications, for example image copyright protection, where transformed images of a given test image need to be identified. The solution to the identification problem consists of two main stages. In stage one, certain representative features are detected for all images. In stage two, the representative features of the test image and the stored images are compared to identify the transformed images for the test image. We have reported the technique to extract robust representative features – corners – in our previous work [1]. This paper will focus on our stage-two work on effective corner matching technique for transformed image identification. Experimental results show that the proposed corner matching technique is very much effective in identifying the transformed images for a given test image.

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Advances in Multimedia Information Processing – PCM 2007

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4810

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© Springer-Verlag Berlin Heidelberg 2007. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com

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Subject

Computer vision and multimedia computation

Information systems

Science & Technology

Computer Science, Information Systems

Computer Science, Theory & Methods

Imaging Science & Photographic Technology

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Awrangjeb, M; Lu, G, Effective corner matching for transformed image identification, Advances in Multimedia Information Processing – PCM 2007, 2007, 4810, pp. 765-774