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SIFTflowc2f.m
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SIFTflowc2f.m
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% function to do coarse to fine SIFT flow matching
function [vx,vy,energylist]=SIFTflowc2f(im1,im2,SIFTflowpara,isdisplay,Segmentation)
if isfield(SIFTflowpara,'alpha')
alpha=SIFTflowpara.alpha;
else
alpha=0.01;
end
if isfield(SIFTflowpara,'d')
d=SIFTflowpara.d;
else
d=alpha*20;
end
if isfield(SIFTflowpara,'gamma')
gamma=SIFTflowpara.gamma;
else
gamma=0.001;
end
if isfield(SIFTflowpara,'nlevels')
nlevels=SIFTflowpara.nlevels;
else
nlevels=4;
end
if isfield(SIFTflowpara,'wsize')
wsize=SIFTflowpara.wsize;
else
wsize=3;
end
if isfield(SIFTflowpara,'topwsize')
topwsize=SIFTflowpara.topwsize;
else
topwsize=10;
end
if isfield(SIFTflowpara,'nIterations')
nIterations=SIFTflowpara.nIterations;
else
nIterations=40;
end
if isfield(SIFTflowpara,'nTopIterations')
nTopIterations=SIFTflowpara.nTopIterations;
else
nTopIterations=100;
end
if exist('isdisplay','var')~=1
isdisplay=false;
end
if exist('Segmentation','var')==1
IsSegmentation=true;
else
IsSegmentation=false;
end
% build the pyramid
pyrd(1).im1=im1;
pyrd(1).im2=im2;
if IsSegmentation
pyrd(1).seg=Segmentation;
end
for i=2:nlevels
pyrd(i).im1=imresize(imfilter(pyrd(i-1).im1,fspecial('gaussian',5,0.67),'same','replicate'),0.5,'bicubic');
pyrd(i).im2=imresize(imfilter(pyrd(i-1).im2,fspecial('gaussian',5,0.67),'same','replicate'),0.5,'bicubic');
% pyrd(i).im1 = reduceImage(pyrd(i-1).im1);
% pyrd(i).im2 = reduceImage(pyrd(i-1).im2);
if IsSegmentation
pyrd(i).seg=imresize(pyrd(i-1).seg,0.5,'nearest');
end
end
for i=1:nlevels
[height,width,nchannels]=size(pyrd(i).im1);
[height2,width2,nchannels]=size(pyrd(i).im2);
[xx,yy]=meshgrid(1:width,1:height);
pyrd(i).xx=round((xx-1)*(width2-1)/(width-1)+1-xx);
pyrd(i).yy=round((yy-1)*(height2-1)/(height-1)+1-yy);
end
nIterationArray=round(linspace(nIterations,nIterations,nlevels));
for i=nlevels:-1:1
if isdisplay
fprintf('Level: %d...',i);
end
[height,width,nchannels]=size(pyrd(i).im1);
[height2,width2,nchannels]=size(pyrd(i).im2);
[xx,yy]=meshgrid(1:width,1:height);
if i==nlevels
% vx=zeros(height,width);
% vy=vx;
vx=pyrd(i).xx;
vy=pyrd(i).yy;
winSizeX=ones(height,width)*topwsize;
winSizeY=ones(height,width)*topwsize;
else
% vx=imresize(vx-pyrd(i+1).xx,[height,width],'bicubic')*2+pyrd(i).xx;
% vy=imresize(vy-pyrd(i+1).yy,[height,width],'bicubic')*2+pyrd(i).yy;
% winSizeX=decideWinSize(vx,wsize);
% winSizeY=decideWinSize(vy,wsize);
vx=round(pyrd(i).xx+imresize(vx-pyrd(i+1).xx,[height,width],'bicubic')*2);
vy=round(pyrd(i).yy+imresize(vy-pyrd(i+1).yy,[height,width],'bicubic')*2);
winSizeX=ones(height,width)*(wsize+i-1);
winSizeY=ones(height,width)*(wsize+i-1);
end
if nchannels<=3
Im1=im2feature(pyrd(i).im1);
Im2=im2feature(pyrd(i).im2);
else
Im1=pyrd(i).im1;
Im2=pyrd(i).im2;
end
% compute the image-based coefficient
if IsSegmentation
imdiff=zeros(height,width,2);
imdiff(:,1:end-1,1)=double(pyrd(i).seg(:,1:end-1)==pyrd(i).seg(:,2:end));
imdiff(1:end-1,:,2)=double(pyrd(i).seg(1:end-1,:)==pyrd(i).seg(2:end,:));
Im_s=imdiff*alpha+(1-imdiff)*alpha*0.01;
Im_d=imdiff*alpha*100+(1-imdiff)*alpha*0.01*20;
end
if i==nlevels
if IsSegmentation
[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nTopIterations,2,topwsize],vx,vy,winSizeX,winSizeY,Im_s,Im_d);
else
[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nTopIterations,2,topwsize],vx,vy,winSizeX,winSizeY);
%[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nTopIterations,0,topwsize],vx,vy,winSizeX,winSizeY);
end
% [flow1,foo1]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nIterationArray(i),0,topwsize],vx,vy,winSizeX,winSizeY);
% [flow2,foo2]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nTopIterations,2,topwsize],vx,vy,winSizeX,winSizeY);
% if foo1(end)<foo2(end)
% flow=flow1;
% foo=foo1;
% else
% flow=flow2;
% foo=foo2;
% end
else
%[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nIterations,nlevels-i,wsize],vx,vy,winSizeX,winSizeY);
if IsSegmentation
[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nIterationArray(i),nlevels-i,wsize],vx,vy,winSizeX,winSizeY,Im_s,Im_d);
else
[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nIterationArray(i),nlevels-i,wsize],vx,vy,winSizeX,winSizeY);
%[flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nIterationArray(i),0,wsize],vx,vy,winSizeX,winSizeY);
end
% [flow,foo]=mexDiscreteFlow(Im1,Im2,[alpha,d,gamma*2^(i-1),nIterationArray(i),0,wsize],vx,vy,winSizeX,winSizeY);
end
energylist(i).data=foo;
vx=flow(:,:,1);
vy=flow(:,:,2);
if isdisplay
fprintf('done!\n');
end
end
function winSizeIm=decideWinSize(offset,wsize)
% design the DOG filter
f1=fspecial('gaussian',9,1);
f2=fspecial('gaussian',9,.5);
f=f2-f1;
foo=imfilter(abs(imfilter(offset,f,'same','replicate')),fspecial('gaussian',9,1.5),'same','replicate');
Min=min(foo(:));
Max=max(foo(:));
winSizeIm=wsize*(foo-Min)/(Max-Min)+wsize;