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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) 2009-2011, 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_VIDEOSTAB_GLOBAL_MOTION_HPP__
#define __OPENCV_VIDEOSTAB_GLOBAL_MOTION_HPP__
#include <vector>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/videostab/optical_flow.hpp"
namespace cv
{
namespace videostab
{
enum MotionModel
{
TRANSLATION = 0,
TRANSLATION_AND_SCALE = 1,
LINEAR_SIMILARITY = 2,
AFFINE = 3
};
CV_EXPORTS Mat estimateGlobalMotionLeastSquares(
const std::vector<Point2f> &points0, const std::vector<Point2f> &points1,
int model = AFFINE, float *rmse = 0);
struct CV_EXPORTS RansacParams
{
int size; // subset size
float thresh; // max error to classify as inlier
float eps; // max outliers ratio
float prob; // probability of success
RansacParams(int _size, float _thresh, float _eps, float _prob)
: size(_size), thresh(_thresh), eps(_eps), prob(_prob) {}
static RansacParams translationMotionStd() { return RansacParams(2, 0.5f, 0.5f, 0.99f); }
static RansacParams translationAndScale2dMotionStd() { return RansacParams(3, 0.5f, 0.5f, 0.99f); }
static RansacParams linearSimilarityMotionStd() { return RansacParams(4, 0.5f, 0.5f, 0.99f); }
static RansacParams affine2dMotionStd() { return RansacParams(6, 0.5f, 0.5f, 0.99f); }
};
CV_EXPORTS Mat estimateGlobalMotionRobust(
const std::vector<Point2f> &points0, const std::vector<Point2f> &points1,
int model = AFFINE, const RansacParams ¶ms = RansacParams::affine2dMotionStd(),
float *rmse = 0, int *ninliers = 0);
class CV_EXPORTS IGlobalMotionEstimator
{
public:
virtual ~IGlobalMotionEstimator() {}
virtual Mat estimate(const Mat &frame0, const Mat &frame1) = 0;
};
class CV_EXPORTS PyrLkRobustMotionEstimator : public IGlobalMotionEstimator
{
public:
PyrLkRobustMotionEstimator();
void setDetector(Ptr<FeatureDetector> val) { detector_ = val; }
Ptr<FeatureDetector> detector() const { return detector_; }
void setOptFlowEstimator(Ptr<ISparseOptFlowEstimator> val) { optFlowEstimator_ = val; }
Ptr<ISparseOptFlowEstimator> optFlowEstimator() const { return optFlowEstimator_; }
void setMotionModel(MotionModel val) { motionModel_ = val; }
MotionModel motionModel() const { return motionModel_; }
void setRansacParams(const RansacParams &val) { ransacParams_ = val; }
RansacParams ransacParams() const { return ransacParams_; }
void setMaxRmse(float val) { maxRmse_ = val; }
float maxRmse() const { return maxRmse_; }
void setMinInlierRatio(float val) { minInlierRatio_ = val; }
float minInlierRatio() const { return minInlierRatio_; }
virtual Mat estimate(const Mat &frame0, const Mat &frame1);
private:
Ptr<FeatureDetector> detector_;
Ptr<ISparseOptFlowEstimator> optFlowEstimator_;
MotionModel motionModel_;
RansacParams ransacParams_;
std::vector<uchar> status_;
std::vector<KeyPoint> keypointsPrev_;
std::vector<Point2f> pointsPrev_, points_;
std::vector<Point2f> pointsPrevGood_, pointsGood_;
float maxRmse_;
float minInlierRatio_;
};
CV_EXPORTS Mat getMotion(int from, int to, const Mat *motions, int size);
CV_EXPORTS Mat getMotion(int from, int to, const std::vector<Mat> &motions);
} // namespace videostab
} // namespace cv
#endif
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