Research Article
Preeti Mandle · Vibha Shaligram
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.4 · Issue 2
Published
September 2015
Access
Open Access
Licence
CC BY-NC-SA 4.0
Keypoints-based image matching algorithms have proven very successful in recent years. However, their execution time makes them unsuitable for online applications. Indeed, identifying similar keypoints requires comparing a large number of high dimensional descriptor vectors. Previous work has shown that matching could be still accurately performed when only considering a few highly significant keypoints. In this paper an improved method for assessing the performance of popular image matching algorithms is presented. Specifically, the method assesses the type of images under which each of the algorithms reviewed herein perform to its maximum or highest efficiency. This paper addresses two texture based algorithms (SIFT and SURF).
Preeti Mandle, Vibha Shaligram (2015). A Novel Image Matching Technique using SIFT and SURF. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.4, Issue 2. ISSN: 2319-4863.
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