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| SIFT Feature Matching Algorithm Based on Vector Angle |
| WU Wei-Jiao,WANG Min,HUANG Xin-Han,MAO Shang-Qin |
Key Laboratory of Image Processing and Intelligent Control of Ministry of Education,Huazhong University of Science Technology,Wuhan 430074
Department of Control Science and Engineering,Huazhong University of Science Technology,Wuhan 430074 |
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Abstract An approximate nearest neighbor search method based on vector angle is proposed. Firstly,the vector angles between high dimensional vectors and a stochastic selected reference vector are computed,and these angles are sorted. Then,the angle of reference vector and the query vector is computed,and the angle is found in the sorted angles by binary search algorithm. Finally,taking the angle as the center,the approximate nearest neighbor of the query vector is searched in the setting range. The experimental results show that the scale invariant feature transform feature matching can be accelerated significantly without undermining the performance of feature matching.
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Received: 29 March 2012
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2013, Vol. 26 
