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.
| Original language | English |
|---|---|
| Title of host publication | Seventh International Conference on Electronics and Information Engineering |
| Editors | Xiyuan Chen |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510610804 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 7th International Conference on Electronics and Information Engineering, ICEIE 2016 - Nanjing, China Duration: 17 Sept 2016 → 18 Sept 2016 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 10322 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | 7th International Conference on Electronics and Information Engineering, ICEIE 2016 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 17/09/16 → 18/09/16 |
Keywords
- Image matching
- Ring descriptor
- SIFT
- SIFTRO
- Scale factor
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Hu, X., & Ding, Y. (2017). Image matching with an improved descriptor based on SIFT. In X. Chen (Ed.), Seventh International Conference on Electronics and Information Engineering Article 103221D (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10322). SPIE. https://doi.org/10.1117/12.2265595