Matching two images by extracting surf features

I want to compare the two images and recover the transformed image by extracting surf features. But I got the recovered image as a blank image. My code is given below

Iin  = imread('H:\mainproject\matlabtry\OpenSURF_version1c\A.bmp'); imshow(Iin); title('Base image');
 Iin=imresize(Iin,[512 512]);
%       Iout = imresize(Iin, 0.7); figure;
%       Iout = imrotate(Iout, 31); 
      Iout=imread('H:\mainproject\matlabtry\OpenSURF_version1c\A1.bmp');imshow(Iout); title('Transformed image');
       Iout=imresize(Iout,[512 512]);
      % detect and extract features from both images
      ptsIn  = detectSURFFeatures(Iin);
      ptsOut = detectSURFFeatures(Iout);
      [featuresIn   validPtsIn]  = extractFeatures(Iin,  ptsIn);
      [featuresOut validPtsOut]  = extractFeatures(Iout, ptsOut);
      % match feature vectors
      index_pairs = matchFeatures(featuresIn, featuresOut);
      % get matching points
      matchedPtsIn  = validPtsIn(index_pairs(:,1));
      matchedPtsOut = validPtsOut(index_pairs(:,2));
      cvexShowMatches(Iin,Iout,matchedPtsIn,matchedPtsOut);
      title('Matched SURF points, including outliers');
      % compute the transformation matrix using RANSAC
      gte = vision.GeometricTransformEstimator;
      gte.Transform = 'Nonreflective similarity';
      [tform inlierIdx] = step(gte, matchedPtsOut.Location, ...
                          matchedPtsIn.Location);
      cvexShowMatches(Iin,Iout,matchedPtsIn(inlierIdx),...
                      matchedPtsOut(inlierIdx),'inliersIn','inliersOut');
      title('Matching inliers');
      % recover the original image Iin from Iout
      agt = vision.GeometricTransformer;
      Ir = step(agt, im2single(Iout), tform);
      figure; imshow(Ir); title('Recovered image');
input images are

</matlabcentral/answers/uploaded_files/34227/A1.bmp> outputs are

</matlabcentral/answers/uploaded_files/34230/recovered%20image.jpg> anyone please help me to solve this problem