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Object recognition routines.

asked 2014-09-25 14:42:49 -0500

97Viper gravatar image

After writing several routines in C++ using SIFT and SURF and running examples found on websites, including yours, although they all run and "work" none do a good job of recognizing learned objects. Is there such a routine out there that does the following: Given a staged HD digital frame of an object (Called Object) with a distinct outline and unique features. Given a HD webcam. A Frame from the webcam (the Scene) is grabbed with the Object in the Scene. The Object is unobscured, " large enough", in a similar rotational position, The Object and the Object in the Scene are facing the camera similarly. The routine returns a indicator that gives the probability of the Object being in the Scene. The routine returns an indicator of the location of the Object in the scene. It must do it consistently without having to change parameters in the code. Is something like this available anywhere. I can't find or code it. Help, please.

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answered 2014-09-26 08:54:17 -0500

Sulman Baig gravatar image

I am working on Object detection using SURF and BFMatcher for detecting car. May be this would be helpful for u gitHub Repo. Please help me also if you could update or improve the code and apply some other distance measurer like i want to use Jensen-Bregman LogDet Divergence method.

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Asked: 2014-09-25 14:42:49 -0500

Seen: 291 times

Last updated: Sep 26 '14