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- /*
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- * License Agreement
- * For Open Source Computer Vision Library
- * (3 - clause BSD License)
- *
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- * are permitted provided that the following conditions are met :
- *
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- * this list of conditions and the following disclaimer.
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- * this list of conditions and the following disclaimer in the documentation
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- *
- * * Neither the names of the copyright holders nor the names of the contributors
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- */
- #ifndef __OPENCV_SPARSEMATCHINTERPOLATOR_HPP__
- #define __OPENCV_SPARSEMATCHINTERPOLATOR_HPP__
- #ifdef __cplusplus
- #include <opencv2/core.hpp>
- namespace cv {
- namespace ximgproc {
- //! @addtogroup ximgproc_filters
- //! @{
- /** @brief Main interface for all filters, that take sparse matches as an
- input and produce a dense per-pixel matching (optical flow) as an output.
- */
- class CV_EXPORTS_W SparseMatchInterpolator : public Algorithm
- {
- public:
- /** @brief Interpolate input sparse matches.
- @param from_image first of the two matched images, 8-bit single-channel or three-channel.
- @param from_points points of the from_image for which there are correspondences in the
- to_image (Point2f vector, size shouldn't exceed 32767)
- @param to_image second of the two matched images, 8-bit single-channel or three-channel.
- @param to_points points in the to_image corresponding to from_points
- (Point2f vector, size shouldn't exceed 32767)
- @param dense_flow output dense matching (two-channel CV_32F image)
- */
- CV_WRAP virtual void interpolate(InputArray from_image, InputArray from_points,
- InputArray to_image , InputArray to_points,
- OutputArray dense_flow) = 0;
- };
- /** @brief Sparse match interpolation algorithm based on modified locally-weighted affine
- estimator from @cite Revaud2015 and Fast Global Smoother as post-processing filter.
- */
- class CV_EXPORTS_W EdgeAwareInterpolator : public SparseMatchInterpolator
- {
- public:
- /** @brief K is a number of nearest-neighbor matches considered, when fitting a locally affine
- model. Usually it should be around 128. However, lower values would make the interpolation
- noticeably faster.
- */
- CV_WRAP virtual void setK(int _k) = 0;
- /** @see setK */
- CV_WRAP virtual int getK() = 0;
- /** @brief Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine
- fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the
- output flow.
- */
- CV_WRAP virtual void setSigma(float _sigma) = 0;
- /** @see setSigma */
- CV_WRAP virtual float getSigma() = 0;
- /** @brief Lambda is a parameter defining the weight of the edge-aware term in geodesic distance,
- should be in the range of 0 to 1000.
- */
- CV_WRAP virtual void setLambda(float _lambda) = 0;
- /** @see setLambda */
- CV_WRAP virtual float getLambda() = 0;
- /** @brief Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by
- default.
- */
- CV_WRAP virtual void setUsePostProcessing(bool _use_post_proc) = 0;
- /** @see setUsePostProcessing */
- CV_WRAP virtual bool getUsePostProcessing() = 0;
- /** @brief Sets the respective fastGlobalSmootherFilter() parameter.
- */
- CV_WRAP virtual void setFGSLambda(float _lambda) = 0;
- /** @see setFGSLambda */
- CV_WRAP virtual float getFGSLambda() = 0;
- /** @see setFGSLambda */
- CV_WRAP virtual void setFGSSigma(float _sigma) = 0;
- /** @see setFGSLambda */
- CV_WRAP virtual float getFGSSigma() = 0;
- };
- /** @brief Factory method that creates an instance of the
- EdgeAwareInterpolator.
- */
- CV_EXPORTS_W
- Ptr<EdgeAwareInterpolator> createEdgeAwareInterpolator();
- //! @}
- }
- }
- #endif
- #endif
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