SURF for image retrieval

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Malini
Malini 2013-11-29
评论： Malini 2013-11-29
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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Image Analyst
Image Analyst 2013-11-29
You can use SIFT and SURF for "scene matching" and Content Based Image Retrieval. I've seen some impressive results. Though with SIFT, since it's patented, that can be a problem. Many people, including the Mathworks in their Computer Vision System Toolbox, use SURF which is about as good as SIFT and much faster. With CBIR, there are a lot of different features and algorithms that can be used to suggest similar images. It's too involved to get into here, plus it's a rapidly evolving field of study. You can get MATLAB SIFT code at http://www.robots.ox.ac.uk/~vedaldi/code/sift.html, or http://www.vlfeat.org/
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Malini
Malini 2013-11-29
编辑：Malini 2013-11-29
Thank you. But I'm using MATLAB full-version. Could u please let me know how to run vlfeat in full version of MATLAB R2013a.
Malini
Malini 2013-11-29
Thank you. I've successfully installed vlfeat in MATLAB R2013a. Reason for the error was that the setup file was in .m extension in the downloaded zipped file and when i removed the .m extension and ran, it went through successfully.
Thank you Image Analyst and Walter for sparing your valuable time to answer my question.
Cheers,
Malini

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