基于SURF特征点的图像拼接算法

基于SURF特征点的图像拼接算法，用MATLAB语言编写。亲测可用，速度比SIFT特征点的配准算法快很多！

 % Example 2 Corresponding points
% Load images
  I11=imread（‘TestImages/1.jpg‘）;
  I1=imresize（I11[540 960]）;
  I22=imread（‘TestImages/2.jpg‘）;
  I2=imresize（I22[540 960]）;
% Get the Key Points
  Options.upright=true;
  Options.tresh=0.0001;
  Ipts1=OpenSurf（I1Options）;
  Ipts2=OpenSurf（I2Options）;
% Put the landmark descriptors in a matrix
  D1 = reshape（[Ipts1.descriptor]64[]）; 
  D2 = reshape（[Ipts2.descriptor]64[]）; 
% Find the best matches
  err=zeros（1length（Ipts1））;
  cor1=1:length（Ipts1）; 
  cor2=zeros（1length（Ipts1））;
  for i=1:length（Ipts1）
      distance=sum（（D2-repmat（D1（:i）[1 length（Ipts2）]））.^21）;
      [err（i）cor2（i）]=min（distance）;
  end
% Sort matches on vector distance
  [err ind]=sort（err）; 
  cor1=cor1（ind）; 
  cor2=cor2（ind）;
% Show both images
  I = zeros（[size（I11） size（I12）*2 size（I13）]）;
  I（:1:size（I12）:）=I1; I（:size（I12）+1:size（I12）+size（I22）:）=I2;
  figure imshow（I/255）; hold on;
% Show the best matches
  for i=1:30
      c=rand（13）;
      plot（[Ipts1（cor1（i））.x Ipts2（cor2（i））.x+size（I12）][Ipts1（cor1（i））.y Ipts2（cor2（i））.y]‘-‘‘Color‘c）
      plot（[Ipts1（cor1（i））.x Ipts2（cor2（i））.x+size（I12）][Ipts1（cor1（i））.y Ipts2（cor2（i））.y]‘o‘‘Color‘c）
  end

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----

     文件       1266  2016-04-15 14:15  OpenSURF_version1c\example2.m

    .......      1776  2010-09-07 01:00  OpenSURF_version1c\example3.m

    .......      1314  2014-02-12 13:16  OpenSURF_version1c\license.txt

    .......      3778  2010-09-07 00:27  OpenSURF_version1c\OpenSurf.m

    .......       603  2010-07-27 04:56  OpenSURF_version1c\SubFunctions\FastHessian_BuildDerivative.m

    .......      1699  2010-07-30 00:10  OpenSURF_version1c\SubFunctions\FastHessian_buildResponselayer.m

    .......      1877  2010-07-21 00:37  OpenSURF_version1c\SubFunctions\FastHessian_buildResponseMap.m

    .......      2353  2010-07-30 23:43  OpenSURF_version1c\SubFunctions\FastHessian_getIpoints.m

    .......       455  2010-07-27 04:56  OpenSURF_version1c\SubFunctions\FastHessian_getLaplacian.m

    .......       450  2010-07-27 04:56  OpenSURF_version1c\SubFunctions\FastHessian_getResponse.m

    .......      2478  2010-07-30 23:02  OpenSURF_version1c\SubFunctions\FastHessian_interpolateExtremum.m

    .......      1680  2010-07-30 22:56  OpenSURF_version1c\SubFunctions\FastHessian_isExtremum.m

    .......       738  2010-07-30 04:32  OpenSURF_version1c\SubFunctions\FastHessian_Responselayer.m

    .......       791  2010-07-29 22:58  OpenSURF_version1c\SubFunctions\IntegralImage_BoxIntegral.m

    .......       494  2010-07-30 04:32  OpenSURF_version1c\SubFunctions\IntegralImage_HaarX.m

    .......       556  2010-07-30 04:37  OpenSURF_version1c\SubFunctions\IntegralImage_HaarY.m

    .......       796  2010-07-29 22:42  OpenSURF_version1c\SubFunctions\IntegralImage_IntegralImage.m

    .......      1089  2010-07-30 23:39  OpenSURF_version1c\SubFunctions\PaintSURF.m

    .......      1554  2010-07-31 00:39  OpenSURF_version1c\SubFunctions\SurfDescriptor_DecribeInterestPoints.m

    .......      3636  2010-07-31 00:40  OpenSURF_version1c\SubFunctions\SurfDescriptor_GetDescriptor.m

    .......      2921  2010-07-31 00:07  OpenSURF_version1c\SubFunctions\SurfDescriptor_GetOrientation.m

     文件     245850  2016-04-05 13:15  OpenSURF_version1c\TestImages\1.jpg

     文件     253044  2016-04-05 13:15  OpenSURF_version1c\TestImages\2.jpg

    .......    239755  2010-09-07 00:22  OpenSURF_version1c\TestImages\lena1.png

    .......    211716  2010-09-07 00:22  OpenSURF_version1c\TestImages\lena2.png

    .......      5296  2010-07-20 05:38  OpenSURF_version1c\TestImages\test.png

    .......    123228  2010-07-27 01:06  OpenSURF_version1c\TestImages\testc1.png

    .......    122063  2010-07-27 01:06  OpenSURF_version1c\TestImages\testc2.png

    .......      9721  2010-09-07 01:04  OpenSURF_version1c\WarpFunctions\affine_warp.m

     目录          0  2016-04-14 23:35  OpenSURF_version1c\SubFunctions

............此处省略6个文件信息