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Combine SIFT with other method for object recognition

asked 2012-07-28 05:38:00 -0500

yes123 gravatar image

Basically I need to develop an object recognition system. I have already used with success matching with SIFT or ORB.

Now I would like to use in the same system something else to improve SIFT/ORB, for example shape matching after a canny edge extractor (or whatever)

Can you suggest me a way to proceed?

I was thinking to always start

  • with corner detection (like SIFT,ORB)
  • then compute ORB descriptors for the corners (like standard ORB)
  • now extract some more information around a patch centered in the corner (contour infroamtion?)

Any Hint?

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I would recommend you to provide more details in your original question (http://answers.opencv.org/question/853). Or you can do it here, but there is no point in keeping both of them.

Kirill Kornyakov gravatar imageKirill Kornyakov ( 2012-07-29 00:49:34 -0500 )edit

@Kirill: I believe there are 2 different topic. One thing is to do an object detection with corner information, another thing is to combine different method into one

yes123 gravatar imageyes123 ( 2012-07-29 06:10:44 -0500 )edit

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answered 2012-10-29 05:06:23 -0500

Mahdi gravatar image

updated 2012-10-29 05:07:03 -0500

A very powerful method is using HOG detector! You may get a confidence on regions you have detected by a HOG detector and SVM!
OpenCV
Original Paper
Also you may use Bag of words model that is a step after extracting SIFT features.

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Asked: 2012-07-28 05:38:00 -0500

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Last updated: Oct 29 '12