Improved SIFT Algorithm Based on Mixed Programming

Dong Guang Zuo; Tao Wen; Zhong Ke Li; Zhan Liang Li

doi:10.4028/www.scientific.net/AMR.926-930.3058

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930Improved SIFT Algorithm Based on Mixed Programming

Improved SIFT Algorithm Based on Mixed Programming

Abstract:

In order to improve the generality and real-time of image matching procedure, Visual Studio 2010 and MATLAB R2009a have been used as the platform to research mixed programming and improved SIFT algorithm. In this method, the advantages of C # and Matlab have been combined to reduce the difficulty of programming and to improve programming efficiency. The results show that, improved SIFT algorithm can greatly improve real-time of matching program while guaranteeing good matching rate, its suitable in real-time applications.

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Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3058-3062

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3058

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Online since:

May 2014

Authors:

Dong Guang Zuo*, Tao Wen, Zhong Ke Li, Zhan Liang Li

Keywords:

Image Matching, MATLAB, Mixed Programming, SIFT Algorithm, Visual C#

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