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Image Matching Based on Improved SIFT Algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Zhang, Hui Zhang, Lingtao |
| Copyright Year | 2015 |
| Abstract | To improve the resolution of different scales in different image matching accuracy and efficiency, this paper introduces an improved method based on scale invariant feature transform ( SIFT) algorithm for image matching. The quasi Euclidean distance instead of Euclidean distance is as the similarity measure of feature descriptors to improve the SIFT feature matching efficiency. Experimental results show that under the condition of keeping the image matching rate and algorithm robust, the method can not only improve the matching accuracy but also shorten the matching time. The algorithm is possible and valid. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijscience.org/download/IJS-2-9-146-149.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
