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Features extraction with orb

asked 2014-03-18 04:04:10 -0600

souraklis
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I am using opencv class orb for feature extraction. As I see for every input image it gives several interest points as a feature vector. However, I ve got a database of images and I want to calculate the feature vector of all these images for classification purposes. I am wandering how is it possible to create to sample all these interest points in a fix size. Am I supposed to create a visual codebook of images?

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answered 2014-03-18 05:01:20 -0600

Guanta
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Yes, you need to have a global image descriptor, you can form it by means of Bag of (visual) Words from your local features, see http://answers.opencv.org/question/8677/image-comparison-with-a-database/#8686 or using directly a global image descriptor like GIST, or use even simpler approaches, see the ideas of @StevenPuttemans http://answers.opencv.org/question/9271/global-image-feature-implementation/.

P.S.: Please use the search of this forum next time.

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Asked: 2014-03-18 04:04:10 -0600

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Last updated: Mar 18 '14

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