It would be very helpful if you provide your implementation of this for Hand Gesture Recognition. Because in this .exe file all the parameters are calculated and matching is done withinin itself. There is no place where I can extract the features of the image and store it.
Also do we have to use Mk-Rod algorithm or ASIFT matching is enough ??
I am trying to break the C++ code and use it for storing the features of database images.
If you provide your implementation, I can take some ideas from it and make it work faster.
I am facing another problem, it would be great help if you guide me on this.
I am trying to compare all the 26 alphabets and also 10 digits 0-9
Sometimes the alphabet is correctly recognized but many times wrong or similar sign language is decoded giving wrong output result. Please guide me as what all changes are needed. I tried changing the Mk-Rod threshold and distratio of sift, but still I get erroneous result.
Please guide me , what parameters to change or any additional check required.
Hi caglar,
Just another doubt.
Is it necessary to have all the images of same size in database ?
like for example in your database all the images are of size 400x300
also in the inputs the size is same.
In our database, we are having all images of different size only having it's region of interest with black background.
Will this cause any problem in matching ?
I recently found how the NFA computed in the ASIFT code:
float nfa = orsa((w1+w2)/2, (h1+h2)/2, match_coor, index, t_value_orsa, verb_value_orsa, n_flag_value_orsa, mode_value_orsa, stop_value_orsa);
Any feedback whether that computation is correct?
Thanks
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