SURF for image retrieval
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Dear Team,
I've few doubts in implementation of SURF? In most of the web tutorials i've read SURF seem to be focussed on a simple comparison between two images. Instead of determining how similar two images are, would it be practical to use SURF to find the N closest matching images out of a collection of thousands of images?
For example, would it be practical to use SURF to generate keypoints for a batch of images, store the keypoints in a database, and then find the ones that have the shortest Euclidean distance to the keypoints generated for a "query" image?
Looking forward for your valuable suggestions and guidance on how to proceed if this could be done?
Malini
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