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Efficient Extraction of Robust Image Features on Mobile Devices | IEEE Conference Publication | IEEE Xplore

Efficient Extraction of Robust Image Features on Mobile Devices


Abstract:

Recent convergence of imaging sensors and general purpose processors on mobile phones creates an opportunity for a new class of augmented reality applications. Robust ima...Show More

Abstract:

Recent convergence of imaging sensors and general purpose processors on mobile phones creates an opportunity for a new class of augmented reality applications. Robust image feature extraction is a crucial enabler of this type of systems. In this article, we discuss an efficient mobile phone implementation of a state-of-the-art algorithm for computing robust image features called SURF. We implement several improvements to the basic algorithm that significantly improve its performance and reduce its memory footprint making the use of this algorithm on the mobile phone practical. Our prototype implementation has been applied to several practical applications such as image search, object recognition and augmented reality applications.
Date of Conference: 13-16 November 2007
Date Added to IEEE Xplore: 06 June 2008
ISBN Information:
Conference Location: Nara, Japan

References

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