Doxygen documentation: flann, photo and stitching modules
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@@ -53,8 +53,46 @@
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#include "opencv2/stitching/detail/blenders.hpp"
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#include "opencv2/stitching/detail/camera.hpp"
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/**
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@defgroup stitching Images stitching
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This figure illustrates the stitching module pipeline implemented in the Stitcher class. Using that
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class it's possible to configure/remove some steps, i.e. adjust the stitching pipeline according to
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the particular needs. All building blocks from the pipeline are available in the detail namespace,
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one can combine and use them separately.
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The implemented stitching pipeline is very similar to the one proposed in @cite BL07.
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@{
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@defgroup stitching_match Features Finding and Images Matching
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@defgroup stitching_rotation Rotation Estimation
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@defgroup stitching_autocalib Autocalibration
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@defgroup stitching_warp Images Warping
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@defgroup stitching_seam Seam Estimation
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@defgroup stitching_exposure Exposure Compensation
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@defgroup stitching_blend Image Blenders
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@}
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*/
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namespace cv {
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//! @addtogroup stitching
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//! @{
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/** @brief High level image stitcher.
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It's possible to use this class without being aware of the entire stitching pipeline. However, to
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be able to achieve higher stitching stability and quality of the final images at least being
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familiar with the theory is recommended.
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@note
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- A basic example on image stitching can be found at
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opencv\_source\_code/samples/cpp/stitching.cpp
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- A detailed example on image stitching can be found at
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opencv\_source\_code/samples/cpp/stitching\_detailed.cpp
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*/
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class CV_EXPORTS_W Stitcher
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{
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public:
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@@ -68,7 +106,11 @@ public:
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};
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// Stitcher() {}
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// Creates stitcher with default parameters
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/** @brief Creates a stitcher with the default parameters.
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@param try\_use\_gpu Flag indicating whether GPU should be used whenever it's possible.
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@return Stitcher class instance.
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*/
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static Stitcher createDefault(bool try_use_gpu = false);
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CV_WRAP double registrationResol() const { return registr_resol_; }
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@@ -128,13 +170,43 @@ public:
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const Ptr<detail::Blender> blender() const { return blender_; }
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void setBlender(Ptr<detail::Blender> b) { blender_ = b; }
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/** @overload */
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CV_WRAP Status estimateTransform(InputArrayOfArrays images);
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/** @brief These functions try to match the given images and to estimate rotations of each camera.
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@note Use the functions only if you're aware of the stitching pipeline, otherwise use
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Stitcher::stitch.
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@param images Input images.
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@param rois Region of interest rectangles.
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@return Status code.
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*/
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Status estimateTransform(InputArrayOfArrays images, const std::vector<std::vector<Rect> > &rois);
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/** @overload */
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CV_WRAP Status composePanorama(OutputArray pano);
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/** @brief These functions try to compose the given images (or images stored internally from the other function
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calls) into the final pano under the assumption that the image transformations were estimated
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before.
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@note Use the functions only if you're aware of the stitching pipeline, otherwise use
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Stitcher::stitch.
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@param images Input images.
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@param pano Final pano.
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@return Status code.
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*/
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Status composePanorama(InputArrayOfArrays images, OutputArray pano);
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/** @overload */
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CV_WRAP Status stitch(InputArrayOfArrays images, OutputArray pano);
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/** @brief These functions try to stitch the given images.
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@param images Input images.
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@param rois Region of interest rectangles.
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@param pano Final pano.
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@return Status code.
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*/
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Status stitch(InputArrayOfArrays images, const std::vector<std::vector<Rect> > &rois, OutputArray pano);
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std::vector<int> component() const { return indices_; }
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@@ -178,6 +250,8 @@ private:
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CV_EXPORTS_W Ptr<Stitcher> createStitcher(bool try_use_gpu = false);
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//! @} stitching
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} // namespace cv
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#endif // __OPENCV_STITCHING_STITCHER_HPP__
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