PSIFT is a special SIFT methon to feature.Is is different from SIFT,it just detector the maximun value in gaussian pyramid. You can get more information form (https://www.sciencedirect.com/science/article/pii/S003132031400394X)
And i am not the auther of that paper.I just implement his methon using pyhton.By the way,this methon i written may not achiveve his desired effect.
There are one example test_PSIFT.py.At first ,you need twe picture which is used to be detectored in the methon.
im1 = np.asarray(Image.open(file+'im1.png').convert('L'))
im2 = np.asarray(Image.open(file+'im2.png').convert('L'))im1 and im2 are images you gived.
If you want to get PSIFT feature,just read this 4 step:
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declar class 'Psift' :psift = Psift(im,octave_num=2,sigma1=1.1,upSampling=False)
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Create gaussian pyramid:psift.CreatePyramid()
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get scole poin:point_list = psift.ScolePoint(rmedge=False,curvature=10,specofic_hd=0)
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get feature by using scole point: feature, new_point = psift.GetFeature(point_list)
You can match two feature picture with PSIFT:
