Reference Point-Based SIFT Feature Matching

Lei Cao; Di Liao; Bin Dang Xue

doi:10.4028/www.scientific.net/AMM.543-547.2670

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Reference Point-Based SIFT Feature Matching

Reference Point-Based SIFT Feature Matching

Abstract:

Aiming to solve the high computational and time consuming problem in SIFT feature matching, this paper presents an improved SIFT feature matching algorithm based on reference point. The algorithm starts from selecting a suitable reference point in the feature descriptor space when SIFT features are extracted. In the feature matching stage, this paper uses the Euclidean distance between descriptor vectors of the feature point to be matched and the reference point to make a fast filtration which removes most of the features that could not be matched. For the remaining SIFT features, Best-bin-first (BBF) algrithm is utilized to obtain precise matches. Experimental results demonstrate that the proposed matching algorithm achieves good effectiveness in image matching, and takes only about 60 percent of the time that the traditional matching algorithm takes.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2670-2673

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2670

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Online since:

March 2014

Authors:

Lei Cao*, Di Liao, Bin Dang Xue

Keywords:

Feature Matching, Reference Distance, Reference Point, SIFT

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