📄 estmotioniter3.m
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function M = estMotionIter3(vol1,vol2,numIters,Minitial,rotFlag,robustFlag,CB,SC)
%
% function M = estMotionIter3(vol1,vol2,numIters,Minitial,rotFlag,robustFlag)
%
% vol1 and vol2 are volumes, 3d arrays
% numIters is number of iterations to run
% Minitial is initial guess for M. Default is 3x3 identity matrix.
%
% M is 4x4 translation+rotation or affine transform matrix: X' = M X
% where X=(x,y,1) is starting position in homogeneous coords
% and X'=(x',y'',1) is ending position
%
% where X=(x,y,z,1) is starting position in homogeneous coords
% and X'=(x',y',z',1) is ending position
%
% Each iteration warps the volumes according to the previous
% estimate, and estimates the residual motion.
%
% robustFlag is passed to estMotion3 (if activated, uses robust M-estimator)
%
% default values
if ~exist('robustFlag')
robustFlag = 0;
end
if ~exist('rotFlag')
rotFlag = 1;
end
if ~exist('CB')
CB = [];
end
if ~exist('SC')
SC = [];
end
if ~exist('numIters')
numIters=3;
elseif isempty(numIters)
numIters=3;
end
if ~exist('Minitial')
M=eye(4);
elseif isempty(Minitial)
M=eye(4);
else
M=Minitial;
end
%disp(['iter=0']);
%disp(M);
for iter=1:numIters
Mhalf2=real(sqrtm(M));
Mhalf1=real(sqrtm(inv(M)));
volWarp1=warpAffine3(vol1,Mhalf1);
volWarp2=warpAffine3(vol2,Mhalf2);
deltaM=estMotion3(volWarp1,volWarp2,rotFlag,robustFlag,CB,SC);
M=deltaM*M;
%disp(['iter=',num2str(iter)]);
%disp(M);
end
return;
%%%%%%%%%
% Debug %
%%%%%%%%%
Niter=3;
% input
filter = [0.03504 0.24878 0.43234 0.24878 0.03504];
in = convXYsep(convZ(rand(30,40,14),filter),filter,filter);
% translation
A= [1 0 0 .2;
0 1 0 .3;
0 0 1 .4;
0 0 0 1];
vol1=warpAffine3(in,A);
vol2=warpAffine3(in,inv(A));
vol1=vol1(:,:,2:9);
vol2=vol2(:,:,2:9);
A*A
% default - rot and LS
ArotLS = estMotionIter3(vol1,vol2,Niter);
% rot and robust
ArotRob = estMotionIter3(vol1,vol2,Niter,[],1,1);
% affine and LS
AaffLS = estMotionIter3(vol1,vol2,Niter,[],0,0);
% affine and robust
AaffRob = estMotionIter3(vol1,vol2,Niter,[],0,1);
A*A
ArotLS
ArotRob
AaffLS
AaffRob
% rotation in x,y
theta=.03;
A1=[cos(theta) sin(theta) 0 0;
-sin(theta) cos(theta) 0 0;
0 0 1 0
0 0 0 1];
A2=inv(A1);
vol1=warpAffine3(in,A1);
vol2=warpAffine3(in,A2);
vol1=vol1(:,:,2:9);
vol2=vol2(:,:,2:9);
A1*A1
% default - rot and LS
ArotLS = estMotionIter3(vol1,vol2,Niter);
% rot and robust
ArotRob = estMotionIter3(vol1,vol2,Niter,[],1,1);
% affine and LS
AaffLS = estMotionIter3(vol1,vol2,Niter,[],0,0);
% affine and robust
AaffRob = estMotionIter3(vol1,vol2,Niter,[],0,1);
A1*A1
ArotLS
ArotRob
AaffLS
AaffRob
% rotation in x,z
theta=.03;
A1=[cos(theta) 0 sin(theta) 0;
0 1 0 0;
-sin(theta) 0 cos(theta) 0;
0 0 0 1];
A2=inv(A1);
vol1=warpAffine3(in,A1);
vol2=warpAffine3(in,A2);
vol1=vol1(:,:,2:9);
vol2=vol2(:,:,2:9);
A1*A1
% default - rot and LS
ArotLS = estMotionIter3(vol1,vol2,Niter);
% rot and robust
ArotRob = estMotionIter3(vol1,vol2,Niter,[],1,1);
% affine and LS
AaffLS = estMotionIter3(vol1,vol2,Niter,[],0,0);
% affine and robust
AaffRob = estMotionIter3(vol1,vol2,Niter,[],0,1);
A1*A1
ArotLS
ArotRob
AaffLS
AaffRob
%%%%%%%%%%%%%%%%%%%%
% test with outliers
%%%%%%%%%%%%%%%%%%%%
% translation
A= [1 0 0 .2;
0 1 0 .3;
0 0 1 .4;
0 0 0 1];
vol1=warpAffine3(in,A);
vol2=warpAffine3(in,inv(A));
vol1=vol1(:,:,2:9);
vol2=vol2(:,:,2:9);
% putting inconsistent information in upper left corner of vol2
Nc=3;
dims=size(vol2);
vol2(1:round(dims(1)/Nc), 1:round(dims(2)/Nc), :) = ...
rand(round(dims(1)/Nc), round(dims(2)/Nc), dims(3));
% default - rot and LS
ArotLS = estMotionIter3(vol1,vol2,Niter);
% rot and robust
ArotRob = estMotionIter3(vol1,vol2,Niter,[],1,1);
% affine and LS
AaffLS = estMotionIter3(vol1,vol2,Niter,[],0,0);
% affine and robust
AaffRob = estMotionIter3(vol1,vol2,Niter,[],0,1);
A*A
ArotLS
ArotRob
AaffLS
AaffRob
% rotation in x,y
theta=.03;
A1=[cos(theta) sin(theta) 0 0;
-sin(theta) cos(theta) 0 0;
0 0 1 0
0 0 0 1];
A2=inv(A1);
vol1=warpAffine3(in,A1);
vol2=warpAffine3(in,A2);
vol1=vol1(:,:,2:9);
vol2=vol2(:,:,2:9);
% putting inconsistent information in upper left corner of vol2
Nc=3;
dims=size(vol2);
vol2(1:round(dims(1)/Nc), 1:round(dims(2)/Nc), :) = ...
rand(round(dims(1)/Nc), round(dims(2)/Nc), dims(3));
% default - rot and LS
ArotLS = estMotionIter3(vol1,vol2,Niter);
% rot and robust
ArotRob = estMotionIter3(vol1,vol2,Niter,[],1,1);
% affine and LS
AaffLS = estMotionIter3(vol1,vol2,Niter,[],0,0);
% affine and robust
AaffRob = estMotionIter3(vol1,vol2,Niter,[],0,1);
A1*A1
ArotLS
ArotRob
AaffLS
AaffRob
% rotation in x,z
theta=.03;
A1=[cos(theta) 0 sin(theta) 0;
0 1 0 0;
-sin(theta) 0 cos(theta) 0;
0 0 0 1];
A2=inv(A1);
vol1=warpAffine3(in,A1);
vol2=warpAffine3(in,A2);
vol1=vol1(:,:,2:9);
vol2=vol2(:,:,2:9);
% putting inconsistent information in upper left corner of vol2
Nc=3;
dims=size(vol2);
vol2(1:round(dims(1)/Nc), 1:round(dims(2)/Nc), :) = ...
rand(round(dims(1)/Nc), round(dims(2)/Nc), dims(3));
% default - rot and LS
ArotLS = estMotionIter3(vol1,vol2,Niter);
% rot and robust
ArotRob = estMotionIter3(vol1,vol2,Niter,[],1,1);
% affine and LS
AaffLS = estMotionIter3(vol1,vol2,Niter,[],0,0);
% affine and robust
AaffRob = estMotionIter3(vol1,vol2,Niter,[],0,1);
A1*A1
ArotLS
ArotRob
AaffLS
AaffRob
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