Description: SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into four steps: detecting scale space extremum point, precise positioning extreme points for each critical point parameters specified direction, the key point descriptor generation.
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File list (Check if you may need any files):
opencv—sift
............\SIFTFEATURE
............\...........\SIFT
............\...........\....\beaver.png
............\...........\....\beaver1.sift
............\...........\....\beaver_1.png
............\...........\....\Debug
............\...........\....\.....\imgfeatures.obj
............\...........\....\.....\imgfeatures.sbr
............\...........\....\.....\SIFT.bsc
............\...........\....\.....\SIFT.exe
............\...........\....\.....\SIFT.ilk
............\...........\....\.....\sift.obj
............\...........\....\.....\SIFT.pch
............\...........\....\.....\SIFT.pdb
............\...........\....\.....\sift.sbr
............\...........\....\.....\siftfeat.obj
............\...........\....\.....\siftfeat.sbr
............\...........\....\.....\utils.obj
............\...........\....\.....\utils.sbr
............\...........\....\.....\vc60.idb
............\...........\....\.....\vc60.pdb
............\...........\....\f1-001-01.jpg
............\...........\....\hp.sift
............\...........\....\hp1.sift
............\...........\....\hp_1.sift
............\...........\....\imgfeatures.c
............\...........\....\imgfeatures.h
............\...........\....\sift.c
............\...........\....\SIFT.dsp
............\...........\....\sift.h
............\...........\....\SIFT.ncb
............\...........\....\SIFT.opt
............\...........\....\SIFT.plg
............\...........\....\siftfeat.c
............\...........\....\SIFTs.dsw
............\...........\....\SIFTs.ncb
............\...........\....\SIFTs.opt
............\...........\....\utils.c
............\...........\....\utils.h
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