Sift and Surf are invariant extractors. There, to match functions, it will help solve many problems.
But there is a corresponding problem, since all points may not be the same in two different images. (and in case of a similarity problem). Therefore, you should use functions that match the others.
Another problem is that these algorithms extract many functions that cannot be matched in large datasets.
There is a good solution to the problems called “Visual Word Bag”
https://github.com/dermotte/LIRE the complete visual word package is fully implemented. Below is the lire website.
The code is very simple if you know a bag of visual words that you can also modify.
After receiving the visual word, you should use the information search methods used in search engines. By the way, Lire also includes an information search library called lucene . You have to let the lira down until you get the full idea and fulfill your own.
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