From: lakesh <lak...@gm...> - 2008-12-20 15:44:50
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Hi Abhishek, I think you deleted the matlab and kepenekci_part2 directories during your previous commits. I am adding them again ok. On Sat, Dec 20, 2008 at 9:19 PM, lakesh <lak...@gm...> wrote: > Also about sigma most of the papers they have taken 2pi like us. But this > is totally arbitrary as said by one of the people in the groups > > > On Sat, Dec 20, 2008 at 9:15 PM, lakesh <lak...@gm...> wrote: > >> Hi Abhishek, >> >> I was tuning the parameters of the Gabor filters and I think I got some >> improvements. I changed the window size and the threshold and some other >> parameters. There is slight improvement; however we can tune the parameters >> to any thing we want that is we can overfit it to a specific image. Also >> other thing is that we don't need to get the high energy points to the >> specific locations like eyes,nose mouth etc. I got some papers where they >> have used adaboost for feature selection and the features are located at >> random locations like us. Also in most of the papers they have taken >> frequency as sqrt(2). The ebgm paper has also taken the same frequency. Also >> I think while comparing the responses of the images to get the feature point >> we should use directly the magnitude. I mean when we shift through the image >> using the window of size WxW to compare the results, we should use the >> magnitude of the response for the comparison and not directly the complex >> numbers. I tried to compare the complex number and it considers only the >> real part while doing the comparison. So I think it is not the correct way >> to compare. Though in Kepenekci it seems like they have directly compared >> the complex numbers, I think we should use the magnitude values directly. >> >> Lets sit and discuss the parameter selection when you finish the C++ >> implementation. >> Currently I am laying my hands with everything I can find and checking >> the results. >> >> >> >> On Sat, Dec 20, 2008 at 8:46 PM, Abhishek Dutta <the...@gm... >> > wrote: >> >>> Hi lakesh, >>> I decided to use "vigra<http://kogs-www.informatik.uni-hamburg.de/%7Ekoethe/vigra/>" >>> library instead of GSL. GSL was not sufficient and did not fulfill all our >>> requirements. >>> >>> "vigra" allows to generate gabor filter family by just supplying the no. >>> of orientations, scale and center frequency. According to the "vigra" >>> documentation, center frequency should not exceed 0.375. However, I was >>> using sqrt(2) = 1.414 as frequency in matlab implementation. Moreover, it >>> selects the best gaussian function (the sigma that we needed to supply) >>> based on a mathematical formula (that I didn't understand). The output (at >>> image size 128x128) looks good. But this does not assure better final >>> results. I will update you with final results after I complete the code to >>> compute feature vectors. >>> >>> bye >>> >>> -- >>> Abhishek >>> http://adutta.np.googlepages.com >>> >> >> >> >> -- >> Have a nice day >> > > > > -- > Have a nice day > -- Have a nice day |