I have a question if you dont mind. Assuming that i have to track the first identified blue colored object that appears in a video. After a couple of frames other objects with the same hsv parameters appear ( noise). My tracker will be found in a typical local minimum problem. If i dont want to refer to the geometry of each object separately ( which will consume time and energy), what will be the ideal filter to use in a way that whatever will appear in the video, the tracker will always go after the first object. I have asked this question everywhere, including here, cant find a proper hint.. Thanking you
Great Job ! It;s been really helpful ! thanks !
I am trying to modify the code for use in 3D . I have a problem understanding the function fastHessian_getResponse . Could you please give a little description on it so i would know what should be expected from this part so I would know how to change it for 3D ?
Good job I have benefited it a lot
But I have a question:
How to Calculate the time of matching?
How to Calculate the number of features?
How to Calculate the percentage of matching?
Please help me, I worked on the graduation project comparison between two algorithm ( SURF AND SIFT)