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105 lines
3.7 KiB
105 lines
3.7 KiB
High level stitching API (Stitcher class) {#tutorial_stitcher} |
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========================================= |
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Goal |
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---- |
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In this tutorial you will learn how to: |
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- use the high-level stitching API for stitching provided by |
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- @ref cv::Stitcher |
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- learn how to use preconfigured Stitcher configurations to stitch images |
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using different camera models. |
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Code |
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---- |
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This tutorial code's is shown lines below. You can also download it from |
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[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/samples/cpp/stitching.cpp). |
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@include samples/cpp/stitching.cpp |
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Explanation |
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----------- |
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The most important code part is: |
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@snippet cpp/stitching.cpp stitching |
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A new instance of stitcher is created and the @ref cv::Stitcher::stitch will |
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do all the hard work. |
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@ref cv::Stitcher::create can create stitcher in one of the predefined |
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configurations (argument `mode`). See @ref cv::Stitcher::Mode for details. These |
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configurations will setup multiple stitcher properties to operate in one of |
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predefined scenarios. After you create stitcher in one of predefined |
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configurations you can adjust stitching by setting any of the stitcher |
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properties. |
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If you have cuda device @ref cv::Stitcher can be configured to offload certain |
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operations to GPU. If you prefer this configuration set `try_use_gpu` to true. |
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OpenCL acceleration will be used transparently based on global OpenCV settings |
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regardless of this flag. |
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Stitching might fail for several reasons, you should always check if |
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everything went good and resulting pano is stored in `pano`. See |
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@ref cv::Stitcher::Status documentation for possible error codes. |
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Camera models |
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------------- |
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There are currently 2 camera models implemented in stitching pipeline. |
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- _Homography model_ expecting perspective transformations between images |
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implemented in @ref cv::detail::BestOf2NearestMatcher cv::detail::HomographyBasedEstimator |
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cv::detail::BundleAdjusterReproj cv::detail::BundleAdjusterRay |
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- _Affine model_ expecting affine transformation with 6 DOF or 4 DOF implemented in |
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@ref cv::detail::AffineBestOf2NearestMatcher cv::detail::AffineBasedEstimator |
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cv::detail::BundleAdjusterAffine cv::detail::BundleAdjusterAffinePartial cv::AffineWarper |
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Homography model is useful for creating photo panoramas captured by camera, |
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while affine-based model can be used to stitch scans and object captured by |
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specialized devices. |
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@note |
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Certain detailed settings of @ref cv::Stitcher might not make sense. Especially |
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you should not mix classes implementing affine model and classes implementing |
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Homography model, as they work with different transformations. |
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Try it out |
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---------- |
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If you enabled building samples you can found binary under |
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`build/bin/cpp-example-stitching`. This example is a console application, run it without |
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arguments to see help. `opencv_extra` provides some sample data for testing all available |
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configurations. |
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to try panorama mode run: |
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``` |
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./cpp-example-stitching --mode panorama <path to opencv_extra>/testdata/stitching/boat* |
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``` |
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to try scans mode run (dataset from home-grade scanner): |
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``` |
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./cpp-example-stitching --mode scans <path to opencv_extra>/testdata/stitching/newspaper* |
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``` |
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or (dataset from professional book scanner): |
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``` |
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./cpp-example-stitching --mode scans <path to opencv_extra>/testdata/stitching/budapest* |
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``` |
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@note |
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Examples above expects POSIX platform, on windows you have to provide all files names explicitly |
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(e.g. `boat1.jpg` `boat2.jpg`...) as windows command line does not support `*` expansion. |
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See also |
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-------- |
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If you want to study internals of the stitching pipeline or you want to experiment with detailed |
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configuration see |
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[stitching_detailed.cpp](https://github.com/opencv/opencv/tree/3.4/samples/cpp/stitching_detailed.cpp) |
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in `opencv/samples/cpp` folder.
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