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I want to detect Or recognize a specific object in an image. First of all say what I have done. I tried to detect a LOGO e.g Google LOGO, I have the original image of the LOGO, but in the images which I am going to process are taken with different cameras from different angle and from different distance and from different screens (wide screen like cinema).

I am using OpenCV 3 to check whether this LOGO is in these images, I have tried the OpenCV SURF, SIFT etc functions and also tried NORM_L2 algorithm, which compares two images and template matching and also used SVM (it was so slow and not correct detection) and some other OpenCV functions, but no one was good to use. Then I did my own algorithm which is working better than the above functions, but also cannot satisfy the requirements.

Now my question is: Is there any better way to detect the specific object in an image? For example: what should I do at the first and second... steps?

Bahramdun Adil
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  • Check [here](http://stackoverflow.com/a/31370006/5008845) for some info – Miki Aug 31 '16 at 08:42
  • Could you share your algorithm with us? perhaps a stackoverflow user could improve that as per your requirements. – Fabulous Aug 31 '16 at 20:10

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