Image matching with an improved descriptor based on SIFT

Xuemei Hu; Yan Ding

doi:10.1117/12.2265595

23 January 2017 Image matching with an improved descriptor based on SIFT

Xuemei Hu, Yan Ding

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103221D (2017) https://doi.org/10.1117/12.2265595
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

In this paper, we propose a novel 30-dimension descriptor named SIFTRO(SIFT of Ring Order) to promote the matching speed, which is generated from 3 local ring areas. A new element reordering method is presented to ensure the descriptor’s rotation invariance. To obtain the best scale factor for SIFTRO descriptor, the weight hierarchy decision model based on AHP is designed. The experiments show that the SIFTRO descriptor inherits the advantages of the invariance to image scaling, rotation and affine, and it also speeds up greatly in image matching, while the precision is improved compared with that of original SIFT.

Citation Download Citation

Xuemei Hu and Yan Ding "Image matching with an improved descriptor based on SIFT", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221D (23 January 2017); https://doi.org/10.1117/12.2265595

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