opencv提供的带参数例程

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     如果仅仅是简单的拼接,可以采用stitching.cpp就差不多了;但是如果采用stitching_detailed.cpp的话,首先要解决的就是"编译问题",而后解决的是分析不同参数下的拼接结果和匹配效果;最后是能够理解一些原理。
     OK,历经一些调试,编译成功,首先看一下有哪些参数可以调整。其实光靠这个就可以写一个简单的带调整的界面了。


F:\06.项目项目\opencv拼接\imageStitching\imageStitching>imageStitching.exe
Rotation model images stitcher.

stitching_detailed img1 img2 [...imgN] [flags]

Flags:
  --preview
      Run stitching in the preview mode. Works faster than usual mode,
      but output image will have lower resolution.
  --try_gpu (yes|no)
      Try to use GPU. The default value is 'no'. All default values
      are for CPU mode.

Motion Estimation Flags:

  --work_megapix <float>
      Resolution for image registration step. The default is 0.6 Mpx.
  --features (surf|orb)
      Type of features used for images matching. The default is surf.
  --match_conf <float>
      Confidence for feature matching step. The default is 0.65 for surf and 0.3 for orb.  这个我可能会单独配置
  --conf_thresh <float>
      Threshold for two images are from the same panorama confidence.
      The default is 1.0.
  --ba (reproj|ray)
      Bundle adjustment cost function. The default is ray.
  --ba_refine_mask (mask)
      Set refinement mask for bundle adjustment. It looks like 'x_xxx',
      where 'x' means refine respective parameter and '_' means don't
      refine one, and has the following format:
      <fx><skew><ppx><aspect><ppy>. The default mask is 'xxxxx'. If bundle
      adjustment doesn't support estimation of selected parameter then
      the respective flag is ignored.
  --wave_correct (no|horiz|vert)
      Perform wave effect correction. The default is 'horiz'.
  --save_graph <file_name>
      Save matches graph represented in DOT language to <file_name> file.
      Labels description: Nm is number of matches, Ni is number of inliers,
      C is confidence.

Compositing Flags:
  --warp (plane|cylindrical|spherical|fisheye|stereographic|compressedPlaneA2B1|
compressedPlaneA1.5B1|compressedPlanePortraitA2B1|compressedPlanePortraitA1.5B1|
paniniA2B1|paniniA1.5B1|paniniPortraitA2B1|paniniPortraitA1.5B1|mercator|transve
rseMercator)
      Warp surface type. The default is 'spherical'.
  --seam_megapix <float>
      Resolution for seam estimation step. The default is 0.1 Mpx.
  --seam (no|voronoi|gc_color|gc_colorgrad)
      Seam estimation method. The default is 'gc_color'.
  --compose_megapix <float>
      Resolution for compositing step. Use -1 for original resolution.
      The default is -1.
  --expos_comp (no|gain|gain_blocks)
      Exposure compensation method. The default is 'gain_blocks'.
  --blend (no|feather|multiband)
      Blending method. The default is 'multiband'.
  --blend_strength <float>
      Blending strength from [0,100] range. The default is 5.
  --output <result_img>
      The default is 'result.jpg'.

测试图片:
第一组:
img_5e3dedbead47d63b657fa37277ea7ddc.jpe img_37837edd9361b5ba2b9947a1fc66fd1a.jpe img_b6ff96c4dfc9a3d1e525af47b77c386b.jpe

--全部默认参数,80秒,结果
img_4b83f35854324e98317fb2639779020d.jpe
--preview 约80秒,这个图片拼接的不错,但是时间太长了。
img_4b83f35854324e98317fb2639779020d.jpe
  --work_megapix <float>是用于寻找的,改为0.1后时间为30秒
img_4b83f35854324e98317fb2639779020d.jpe
        --features (surf|orb) 改成orb后速度显著提升
  --match_conf <float>也应该是数值越小匹配越快,但是失败的可能也越大。这个是不断调整参数的过程。

   --ba (reproj|ray)默认是ray,改为reproj后,速度更快!更快


然后,就是   --warp  这一块,参数比较多
plane
cylindrical
fisheye
sphericalimg_4b83f35854324e98317fb2639779020d.jpe




目前方向:图像拼接融合、图像识别 联系方式:jsxyhelu@foxmail.com
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