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Proceedings Paper

An improved SURF descriptor based on sector area partitioning
Author(s): Luan Zeng; You Zhai; Xiu-hua Fang
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Paper Abstract

In order to improve the robustness and real time performance of SURF based image matching algorithms, a constructing method of SURF descriptor based on sector area partitioning in a circular region was proposed and the dimension of descriptors was reduced from 64 to 32. We compute the new descriptor in a circular local region (the radius set to 10s). Firstly, the local region is divided into 8 equal sector areas according to the dominant orientation in inverse time order. Secondly, Define the dominate orientation and its orthogonal orientation as x and y axis of the key-point’s local frame. Thirdly, compute the Haar wavelet response in x and y directions within the key-point local region. In order to reduce the boundary effect and outer noise, Haar wavelet response in the same Grid of different triangle is both assigned to each sector in different weight, and then a gaussian weighting function is used. Compute the histogram of Haar wavelet response and absolute Haar wavelet response, so each sector sub-region constitutes a vector with 4 dimensions. Finally, a descriptor with 32 dimensions is constituted and the descriptor is normalized to achieve illumination invariance. The experimental results indicate that the average matching speed of the new method increase of about 31.18.

Paper Details

Date Published: 10 October 2013
PDF: 7 pages
Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89163K (10 October 2013); doi: 10.1117/12.2035753
Show Author Affiliations
Luan Zeng, Academy of Equipment (China)
You Zhai, Academy of Equipment (China)
Xiu-hua Fang, Academy of Equipment (China)


Published in SPIE Proceedings Vol. 8916:
Sixth International Symposium on Precision Mechanical Measurements
Shenghua Ye; Yetai Fei, Editor(s)

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