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authorshamikam2017-01-16 02:56:17 +0530
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+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+// By downloading, copying, installing or using the software you agree to this license.
+// If you do not agree to this license, do not download, install,
+// copy or use the software.
+//
+//
+// License Agreement
+// For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+// * Redistribution's of source code must retain the above copyright notice,
+// this list of conditions and the following disclaimer.
+//
+// * Redistribution's in binary form must reproduce the above copyright notice,
+// this list of conditions and the following disclaimer in the documentation
+// and/or other materials provided with the distribution.
+//
+// * The name of the copyright holders may not be used to endorse or promote products
+// derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#ifndef OPENCV_STITCHING_STITCHER_HPP
+#define OPENCV_STITCHING_STITCHER_HPP
+
+#include "opencv2/core.hpp"
+#include "opencv2/features2d.hpp"
+#include "opencv2/stitching/warpers.hpp"
+#include "opencv2/stitching/detail/matchers.hpp"
+#include "opencv2/stitching/detail/motion_estimators.hpp"
+#include "opencv2/stitching/detail/exposure_compensate.hpp"
+#include "opencv2/stitching/detail/seam_finders.hpp"
+#include "opencv2/stitching/detail/blenders.hpp"
+#include "opencv2/stitching/detail/camera.hpp"
+
+
+#if defined(Status)
+# warning Detected X11 'Status' macro definition, it can cause build conflicts. Please, include this header before any X11 headers.
+#endif
+
+
+/**
+@defgroup stitching Images stitching
+
+This figure illustrates the stitching module pipeline implemented in the Stitcher class. Using that
+class it's possible to configure/remove some steps, i.e. adjust the stitching pipeline according to
+the particular needs. All building blocks from the pipeline are available in the detail namespace,
+one can combine and use them separately.
+
+The implemented stitching pipeline is very similar to the one proposed in @cite BL07 .
+
+![stitching pipeline](StitchingPipeline.jpg)
+
+Camera models
+-------------
+
+There are currently 2 camera models implemented in stitching pipeline.
+
+- _Homography model_ expecting perspective transformations between images
+ implemented in @ref cv::detail::BestOf2NearestMatcher cv::detail::HomographyBasedEstimator
+ cv::detail::BundleAdjusterReproj cv::detail::BundleAdjusterRay
+- _Affine model_ expecting affine transformation with 6 DOF or 4 DOF implemented in
+ @ref cv::detail::AffineBestOf2NearestMatcher cv::detail::AffineBasedEstimator
+ cv::detail::BundleAdjusterAffine cv::detail::BundleAdjusterAffinePartial cv::AffineWarper
+
+Homography model is useful for creating photo panoramas captured by camera,
+while affine-based model can be used to stitch scans and object captured by
+specialized devices. Use @ref cv::Stitcher::create to get preconfigured pipeline for one
+of those models.
+
+@note
+Certain detailed settings of @ref cv::Stitcher might not make sense. Especially
+you should not mix classes implementing affine model and classes implementing
+Homography model, as they work with different transformations.
+
+@{
+ @defgroup stitching_match Features Finding and Images Matching
+ @defgroup stitching_rotation Rotation Estimation
+ @defgroup stitching_autocalib Autocalibration
+ @defgroup stitching_warp Images Warping
+ @defgroup stitching_seam Seam Estimation
+ @defgroup stitching_exposure Exposure Compensation
+ @defgroup stitching_blend Image Blenders
+@}
+ */
+
+namespace cv {
+
+//! @addtogroup stitching
+//! @{
+
+/** @brief High level image stitcher.
+
+It's possible to use this class without being aware of the entire stitching pipeline. However, to
+be able to achieve higher stitching stability and quality of the final images at least being
+familiar with the theory is recommended.
+
+@note
+ - A basic example on image stitching can be found at
+ opencv_source_code/samples/cpp/stitching.cpp
+ - A detailed example on image stitching can be found at
+ opencv_source_code/samples/cpp/stitching_detailed.cpp
+ */
+class CV_EXPORTS_W Stitcher
+{
+public:
+ enum { ORIG_RESOL = -1 };
+ enum Status
+ {
+ OK = 0,
+ ERR_NEED_MORE_IMGS = 1,
+ ERR_HOMOGRAPHY_EST_FAIL = 2,
+ ERR_CAMERA_PARAMS_ADJUST_FAIL = 3
+ };
+ enum Mode
+ {
+ /** Mode for creating photo panoramas. Expects images under perspective
+ transformation and projects resulting pano to sphere.
+
+ @sa detail::BestOf2NearestMatcher SphericalWarper
+ */
+ PANORAMA = 0,
+ /** Mode for composing scans. Expects images under affine transformation does
+ not compensate exposure by default.
+
+ @sa detail::AffineBestOf2NearestMatcher AffineWarper
+ */
+ SCANS = 1,
+
+ };
+
+ // Stitcher() {}
+ /** @brief Creates a stitcher with the default parameters.
+
+ @param try_use_gpu Flag indicating whether GPU should be used whenever it's possible.
+ @return Stitcher class instance.
+ */
+ static Stitcher createDefault(bool try_use_gpu = false);
+ /** @brief Creates a Stitcher configured in one of the stitching modes.
+
+ @param mode Scenario for stitcher operation. This is usually determined by source of images
+ to stitch and their transformation. Default parameters will be chosen for operation in given
+ scenario.
+ @param try_use_gpu Flag indicating whether GPU should be used whenever it's possible.
+ @return Stitcher class instance.
+ */
+ static Ptr<Stitcher> create(Mode mode = PANORAMA, bool try_use_gpu = false);
+
+ CV_WRAP double registrationResol() const { return registr_resol_; }
+ CV_WRAP void setRegistrationResol(double resol_mpx) { registr_resol_ = resol_mpx; }
+
+ CV_WRAP double seamEstimationResol() const { return seam_est_resol_; }
+ CV_WRAP void setSeamEstimationResol(double resol_mpx) { seam_est_resol_ = resol_mpx; }
+
+ CV_WRAP double compositingResol() const { return compose_resol_; }
+ CV_WRAP void setCompositingResol(double resol_mpx) { compose_resol_ = resol_mpx; }
+
+ CV_WRAP double panoConfidenceThresh() const { return conf_thresh_; }
+ CV_WRAP void setPanoConfidenceThresh(double conf_thresh) { conf_thresh_ = conf_thresh; }
+
+ CV_WRAP bool waveCorrection() const { return do_wave_correct_; }
+ CV_WRAP void setWaveCorrection(bool flag) { do_wave_correct_ = flag; }
+
+ detail::WaveCorrectKind waveCorrectKind() const { return wave_correct_kind_; }
+ void setWaveCorrectKind(detail::WaveCorrectKind kind) { wave_correct_kind_ = kind; }
+
+ Ptr<detail::FeaturesFinder> featuresFinder() { return features_finder_; }
+ const Ptr<detail::FeaturesFinder> featuresFinder() const { return features_finder_; }
+ void setFeaturesFinder(Ptr<detail::FeaturesFinder> features_finder)
+ { features_finder_ = features_finder; }
+
+ Ptr<detail::FeaturesMatcher> featuresMatcher() { return features_matcher_; }
+ const Ptr<detail::FeaturesMatcher> featuresMatcher() const { return features_matcher_; }
+ void setFeaturesMatcher(Ptr<detail::FeaturesMatcher> features_matcher)
+ { features_matcher_ = features_matcher; }
+
+ const cv::UMat& matchingMask() const { return matching_mask_; }
+ void setMatchingMask(const cv::UMat &mask)
+ {
+ CV_Assert(mask.type() == CV_8U && mask.cols == mask.rows);
+ matching_mask_ = mask.clone();
+ }
+
+ Ptr<detail::BundleAdjusterBase> bundleAdjuster() { return bundle_adjuster_; }
+ const Ptr<detail::BundleAdjusterBase> bundleAdjuster() const { return bundle_adjuster_; }
+ void setBundleAdjuster(Ptr<detail::BundleAdjusterBase> bundle_adjuster)
+ { bundle_adjuster_ = bundle_adjuster; }
+
+ /* TODO OpenCV ABI 4.x
+ Ptr<detail::Estimator> estimator() { return estimator_; }
+ const Ptr<detail::Estimator> estimator() const { return estimator_; }
+ void setEstimator(Ptr<detail::Estimator> estimator)
+ { estimator_ = estimator; }
+ */
+
+ Ptr<WarperCreator> warper() { return warper_; }
+ const Ptr<WarperCreator> warper() const { return warper_; }
+ void setWarper(Ptr<WarperCreator> creator) { warper_ = creator; }
+
+ Ptr<detail::ExposureCompensator> exposureCompensator() { return exposure_comp_; }
+ const Ptr<detail::ExposureCompensator> exposureCompensator() const { return exposure_comp_; }
+ void setExposureCompensator(Ptr<detail::ExposureCompensator> exposure_comp)
+ { exposure_comp_ = exposure_comp; }
+
+ Ptr<detail::SeamFinder> seamFinder() { return seam_finder_; }
+ const Ptr<detail::SeamFinder> seamFinder() const { return seam_finder_; }
+ void setSeamFinder(Ptr<detail::SeamFinder> seam_finder) { seam_finder_ = seam_finder; }
+
+ Ptr<detail::Blender> blender() { return blender_; }
+ const Ptr<detail::Blender> blender() const { return blender_; }
+ void setBlender(Ptr<detail::Blender> b) { blender_ = b; }
+
+ /** @overload */
+ CV_WRAP Status estimateTransform(InputArrayOfArrays images);
+ /** @brief These functions try to match the given images and to estimate rotations of each camera.
+
+ @note Use the functions only if you're aware of the stitching pipeline, otherwise use
+ Stitcher::stitch.
+
+ @param images Input images.
+ @param rois Region of interest rectangles.
+ @return Status code.
+ */
+ Status estimateTransform(InputArrayOfArrays images, const std::vector<std::vector<Rect> > &rois);
+
+ /** @overload */
+ CV_WRAP Status composePanorama(OutputArray pano);
+ /** @brief These functions try to compose the given images (or images stored internally from the other function
+ calls) into the final pano under the assumption that the image transformations were estimated
+ before.
+
+ @note Use the functions only if you're aware of the stitching pipeline, otherwise use
+ Stitcher::stitch.
+
+ @param images Input images.
+ @param pano Final pano.
+ @return Status code.
+ */
+ Status composePanorama(InputArrayOfArrays images, OutputArray pano);
+
+ /** @overload */
+ CV_WRAP Status stitch(InputArrayOfArrays images, OutputArray pano);
+ /** @brief These functions try to stitch the given images.
+
+ @param images Input images.
+ @param rois Region of interest rectangles.
+ @param pano Final pano.
+ @return Status code.
+ */
+ Status stitch(InputArrayOfArrays images, const std::vector<std::vector<Rect> > &rois, OutputArray pano);
+
+ std::vector<int> component() const { return indices_; }
+ std::vector<detail::CameraParams> cameras() const { return cameras_; }
+ CV_WRAP double workScale() const { return work_scale_; }
+
+private:
+ //Stitcher() {}
+
+ Status matchImages();
+ Status estimateCameraParams();
+
+ double registr_resol_;
+ double seam_est_resol_;
+ double compose_resol_;
+ double conf_thresh_;
+ Ptr<detail::FeaturesFinder> features_finder_;
+ Ptr<detail::FeaturesMatcher> features_matcher_;
+ cv::UMat matching_mask_;
+ Ptr<detail::BundleAdjusterBase> bundle_adjuster_;
+ /* TODO OpenCV ABI 4.x
+ Ptr<detail::Estimator> estimator_;
+ */
+ bool do_wave_correct_;
+ detail::WaveCorrectKind wave_correct_kind_;
+ Ptr<WarperCreator> warper_;
+ Ptr<detail::ExposureCompensator> exposure_comp_;
+ Ptr<detail::SeamFinder> seam_finder_;
+ Ptr<detail::Blender> blender_;
+
+ std::vector<cv::UMat> imgs_;
+ std::vector<std::vector<cv::Rect> > rois_;
+ std::vector<cv::Size> full_img_sizes_;
+ std::vector<detail::ImageFeatures> features_;
+ std::vector<detail::MatchesInfo> pairwise_matches_;
+ std::vector<cv::UMat> seam_est_imgs_;
+ std::vector<int> indices_;
+ std::vector<detail::CameraParams> cameras_;
+ double work_scale_;
+ double seam_scale_;
+ double seam_work_aspect_;
+ double warped_image_scale_;
+};
+
+CV_EXPORTS_W Ptr<Stitcher> createStitcher(bool try_use_gpu = false);
+
+//! @} stitching
+
+} // namespace cv
+
+#endif // OPENCV_STITCHING_STITCHER_HPP