Initial commit.
Final release of the project Anonymizer (2015). Project settings for the Qt Creator (ver. 3.6).
This commit is contained in:
72
3rdparty/include/opencv2/shape/emdL1.hpp
vendored
Normal file
72
3rdparty/include/opencv2/shape/emdL1.hpp
vendored
Normal file
@ -0,0 +1,72 @@
|
||||
/*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) 2009-2012, 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_EMD_L1_HPP__
|
||||
#define __OPENCV_EMD_L1_HPP__
|
||||
|
||||
#include "opencv2/core.hpp"
|
||||
|
||||
namespace cv
|
||||
{
|
||||
/****************************************************************************************\
|
||||
* EMDL1 Function *
|
||||
\****************************************************************************************/
|
||||
|
||||
//! @addtogroup shape
|
||||
//! @{
|
||||
|
||||
/** @brief Computes the "minimal work" distance between two weighted point configurations base on the papers
|
||||
"EMD-L1: An efficient and Robust Algorithm for comparing histogram-based descriptors", by Haibin
|
||||
Ling and Kazunori Okuda; and "The Earth Mover's Distance is the Mallows Distance: Some Insights from
|
||||
Statistics", by Elizaveta Levina and Peter Bickel.
|
||||
|
||||
@param signature1 First signature, a single column floating-point matrix. Each row is the value of
|
||||
the histogram in each bin.
|
||||
@param signature2 Second signature of the same format and size as signature1.
|
||||
*/
|
||||
CV_EXPORTS float EMDL1(InputArray signature1, InputArray signature2);
|
||||
|
||||
//! @}
|
||||
|
||||
}//namespace cv
|
||||
|
||||
#endif
|
||||
111
3rdparty/include/opencv2/shape/hist_cost.hpp
vendored
Normal file
111
3rdparty/include/opencv2/shape/hist_cost.hpp
vendored
Normal file
@ -0,0 +1,111 @@
|
||||
/*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.
|
||||
// Copyright (C) 2013, OpenCV Foundation, 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_HIST_COST_HPP__
|
||||
#define __OPENCV_HIST_COST_HPP__
|
||||
|
||||
#include "opencv2/imgproc.hpp"
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
//! @addtogroup shape
|
||||
//! @{
|
||||
|
||||
/** @brief Abstract base class for histogram cost algorithms.
|
||||
*/
|
||||
class CV_EXPORTS_W HistogramCostExtractor : public Algorithm
|
||||
{
|
||||
public:
|
||||
CV_WRAP virtual void buildCostMatrix(InputArray descriptors1, InputArray descriptors2, OutputArray costMatrix) = 0;
|
||||
|
||||
CV_WRAP virtual void setNDummies(int nDummies) = 0;
|
||||
CV_WRAP virtual int getNDummies() const = 0;
|
||||
|
||||
CV_WRAP virtual void setDefaultCost(float defaultCost) = 0;
|
||||
CV_WRAP virtual float getDefaultCost() const = 0;
|
||||
};
|
||||
|
||||
/** @brief A norm based cost extraction. :
|
||||
*/
|
||||
class CV_EXPORTS_W NormHistogramCostExtractor : public HistogramCostExtractor
|
||||
{
|
||||
public:
|
||||
CV_WRAP virtual void setNormFlag(int flag) = 0;
|
||||
CV_WRAP virtual int getNormFlag() const = 0;
|
||||
};
|
||||
|
||||
CV_EXPORTS_W Ptr<HistogramCostExtractor>
|
||||
createNormHistogramCostExtractor(int flag=DIST_L2, int nDummies=25, float defaultCost=0.2f);
|
||||
|
||||
/** @brief An EMD based cost extraction. :
|
||||
*/
|
||||
class CV_EXPORTS_W EMDHistogramCostExtractor : public HistogramCostExtractor
|
||||
{
|
||||
public:
|
||||
CV_WRAP virtual void setNormFlag(int flag) = 0;
|
||||
CV_WRAP virtual int getNormFlag() const = 0;
|
||||
};
|
||||
|
||||
CV_EXPORTS_W Ptr<HistogramCostExtractor>
|
||||
createEMDHistogramCostExtractor(int flag=DIST_L2, int nDummies=25, float defaultCost=0.2f);
|
||||
|
||||
/** @brief An Chi based cost extraction. :
|
||||
*/
|
||||
class CV_EXPORTS_W ChiHistogramCostExtractor : public HistogramCostExtractor
|
||||
{};
|
||||
|
||||
CV_EXPORTS_W Ptr<HistogramCostExtractor> createChiHistogramCostExtractor(int nDummies=25, float defaultCost=0.2f);
|
||||
|
||||
/** @brief An EMD-L1 based cost extraction. :
|
||||
*/
|
||||
class CV_EXPORTS_W EMDL1HistogramCostExtractor : public HistogramCostExtractor
|
||||
{};
|
||||
|
||||
CV_EXPORTS_W Ptr<HistogramCostExtractor>
|
||||
createEMDL1HistogramCostExtractor(int nDummies=25, float defaultCost=0.2f);
|
||||
|
||||
//! @}
|
||||
|
||||
} // cv
|
||||
#endif
|
||||
48
3rdparty/include/opencv2/shape/shape.hpp
vendored
Normal file
48
3rdparty/include/opencv2/shape/shape.hpp
vendored
Normal file
@ -0,0 +1,48 @@
|
||||
/*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.
|
||||
// Copyright (C) 2013, OpenCV Foundation, 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*/
|
||||
|
||||
#ifdef __OPENCV_BUILD
|
||||
#error this is a compatibility header which should not be used inside the OpenCV library
|
||||
#endif
|
||||
|
||||
#include "opencv2/shape.hpp"
|
||||
224
3rdparty/include/opencv2/shape/shape_distance.hpp
vendored
Normal file
224
3rdparty/include/opencv2/shape/shape_distance.hpp
vendored
Normal file
@ -0,0 +1,224 @@
|
||||
/*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.
|
||||
// Copyright (C) 2013, OpenCV Foundation, 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_SHAPE_SHAPE_DISTANCE_HPP__
|
||||
#define __OPENCV_SHAPE_SHAPE_DISTANCE_HPP__
|
||||
#include "opencv2/core.hpp"
|
||||
#include "opencv2/shape/hist_cost.hpp"
|
||||
#include "opencv2/shape/shape_transformer.hpp"
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
//! @addtogroup shape
|
||||
//! @{
|
||||
|
||||
/** @brief Abstract base class for shape distance algorithms.
|
||||
*/
|
||||
class CV_EXPORTS_W ShapeDistanceExtractor : public Algorithm
|
||||
{
|
||||
public:
|
||||
/** @brief Compute the shape distance between two shapes defined by its contours.
|
||||
|
||||
@param contour1 Contour defining first shape.
|
||||
@param contour2 Contour defining second shape.
|
||||
*/
|
||||
CV_WRAP virtual float computeDistance(InputArray contour1, InputArray contour2) = 0;
|
||||
};
|
||||
|
||||
/***********************************************************************************/
|
||||
/***********************************************************************************/
|
||||
/***********************************************************************************/
|
||||
/** @brief Implementation of the Shape Context descriptor and matching algorithm
|
||||
|
||||
proposed by Belongie et al. in "Shape Matching and Object Recognition Using Shape Contexts" (PAMI
|
||||
2002). This implementation is packaged in a generic scheme, in order to allow you the
|
||||
implementation of the common variations of the original pipeline.
|
||||
*/
|
||||
class CV_EXPORTS_W ShapeContextDistanceExtractor : public ShapeDistanceExtractor
|
||||
{
|
||||
public:
|
||||
/** @brief Establish the number of angular bins for the Shape Context Descriptor used in the shape matching
|
||||
pipeline.
|
||||
|
||||
@param nAngularBins The number of angular bins in the shape context descriptor.
|
||||
*/
|
||||
CV_WRAP virtual void setAngularBins(int nAngularBins) = 0;
|
||||
CV_WRAP virtual int getAngularBins() const = 0;
|
||||
|
||||
/** @brief Establish the number of radial bins for the Shape Context Descriptor used in the shape matching
|
||||
pipeline.
|
||||
|
||||
@param nRadialBins The number of radial bins in the shape context descriptor.
|
||||
*/
|
||||
CV_WRAP virtual void setRadialBins(int nRadialBins) = 0;
|
||||
CV_WRAP virtual int getRadialBins() const = 0;
|
||||
|
||||
/** @brief Set the inner radius of the shape context descriptor.
|
||||
|
||||
@param innerRadius The value of the inner radius.
|
||||
*/
|
||||
CV_WRAP virtual void setInnerRadius(float innerRadius) = 0;
|
||||
CV_WRAP virtual float getInnerRadius() const = 0;
|
||||
|
||||
/** @brief Set the outer radius of the shape context descriptor.
|
||||
|
||||
@param outerRadius The value of the outer radius.
|
||||
*/
|
||||
CV_WRAP virtual void setOuterRadius(float outerRadius) = 0;
|
||||
CV_WRAP virtual float getOuterRadius() const = 0;
|
||||
|
||||
CV_WRAP virtual void setRotationInvariant(bool rotationInvariant) = 0;
|
||||
CV_WRAP virtual bool getRotationInvariant() const = 0;
|
||||
|
||||
/** @brief Set the weight of the shape context distance in the final value of the shape distance. The shape
|
||||
context distance between two shapes is defined as the symmetric sum of shape context matching costs
|
||||
over best matching points. The final value of the shape distance is a user-defined linear
|
||||
combination of the shape context distance, an image appearance distance, and a bending energy.
|
||||
|
||||
@param shapeContextWeight The weight of the shape context distance in the final distance value.
|
||||
*/
|
||||
CV_WRAP virtual void setShapeContextWeight(float shapeContextWeight) = 0;
|
||||
CV_WRAP virtual float getShapeContextWeight() const = 0;
|
||||
|
||||
/** @brief Set the weight of the Image Appearance cost in the final value of the shape distance. The image
|
||||
appearance cost is defined as the sum of squared brightness differences in Gaussian windows around
|
||||
corresponding image points. The final value of the shape distance is a user-defined linear
|
||||
combination of the shape context distance, an image appearance distance, and a bending energy. If
|
||||
this value is set to a number different from 0, is mandatory to set the images that correspond to
|
||||
each shape.
|
||||
|
||||
@param imageAppearanceWeight The weight of the appearance cost in the final distance value.
|
||||
*/
|
||||
CV_WRAP virtual void setImageAppearanceWeight(float imageAppearanceWeight) = 0;
|
||||
CV_WRAP virtual float getImageAppearanceWeight() const = 0;
|
||||
|
||||
/** @brief Set the weight of the Bending Energy in the final value of the shape distance. The bending energy
|
||||
definition depends on what transformation is being used to align the shapes. The final value of the
|
||||
shape distance is a user-defined linear combination of the shape context distance, an image
|
||||
appearance distance, and a bending energy.
|
||||
|
||||
@param bendingEnergyWeight The weight of the Bending Energy in the final distance value.
|
||||
*/
|
||||
CV_WRAP virtual void setBendingEnergyWeight(float bendingEnergyWeight) = 0;
|
||||
CV_WRAP virtual float getBendingEnergyWeight() const = 0;
|
||||
|
||||
/** @brief Set the images that correspond to each shape. This images are used in the calculation of the Image
|
||||
Appearance cost.
|
||||
|
||||
@param image1 Image corresponding to the shape defined by contours1.
|
||||
@param image2 Image corresponding to the shape defined by contours2.
|
||||
*/
|
||||
CV_WRAP virtual void setImages(InputArray image1, InputArray image2) = 0;
|
||||
CV_WRAP virtual void getImages(OutputArray image1, OutputArray image2) const = 0;
|
||||
|
||||
CV_WRAP virtual void setIterations(int iterations) = 0;
|
||||
CV_WRAP virtual int getIterations() const = 0;
|
||||
|
||||
/** @brief Set the algorithm used for building the shape context descriptor cost matrix.
|
||||
|
||||
@param comparer Smart pointer to a HistogramCostExtractor, an algorithm that defines the cost
|
||||
matrix between descriptors.
|
||||
*/
|
||||
CV_WRAP virtual void setCostExtractor(Ptr<HistogramCostExtractor> comparer) = 0;
|
||||
CV_WRAP virtual Ptr<HistogramCostExtractor> getCostExtractor() const = 0;
|
||||
|
||||
/** @brief Set the value of the standard deviation for the Gaussian window for the image appearance cost.
|
||||
|
||||
@param sigma Standard Deviation.
|
||||
*/
|
||||
CV_WRAP virtual void setStdDev(float sigma) = 0;
|
||||
CV_WRAP virtual float getStdDev() const = 0;
|
||||
|
||||
/** @brief Set the algorithm used for aligning the shapes.
|
||||
|
||||
@param transformer Smart pointer to a ShapeTransformer, an algorithm that defines the aligning
|
||||
transformation.
|
||||
*/
|
||||
CV_WRAP virtual void setTransformAlgorithm(Ptr<ShapeTransformer> transformer) = 0;
|
||||
CV_WRAP virtual Ptr<ShapeTransformer> getTransformAlgorithm() const = 0;
|
||||
};
|
||||
|
||||
/* Complete constructor */
|
||||
CV_EXPORTS_W Ptr<ShapeContextDistanceExtractor>
|
||||
createShapeContextDistanceExtractor(int nAngularBins=12, int nRadialBins=4,
|
||||
float innerRadius=0.2f, float outerRadius=2, int iterations=3,
|
||||
const Ptr<HistogramCostExtractor> &comparer = createChiHistogramCostExtractor(),
|
||||
const Ptr<ShapeTransformer> &transformer = createThinPlateSplineShapeTransformer());
|
||||
|
||||
/***********************************************************************************/
|
||||
/***********************************************************************************/
|
||||
/***********************************************************************************/
|
||||
/** @brief A simple Hausdorff distance measure between shapes defined by contours
|
||||
|
||||
according to the paper "Comparing Images using the Hausdorff distance." by D.P. Huttenlocher, G.A.
|
||||
Klanderman, and W.J. Rucklidge. (PAMI 1993). :
|
||||
*/
|
||||
class CV_EXPORTS_W HausdorffDistanceExtractor : public ShapeDistanceExtractor
|
||||
{
|
||||
public:
|
||||
/** @brief Set the norm used to compute the Hausdorff value between two shapes. It can be L1 or L2 norm.
|
||||
|
||||
@param distanceFlag Flag indicating which norm is used to compute the Hausdorff distance
|
||||
(NORM_L1, NORM_L2).
|
||||
*/
|
||||
CV_WRAP virtual void setDistanceFlag(int distanceFlag) = 0;
|
||||
CV_WRAP virtual int getDistanceFlag() const = 0;
|
||||
|
||||
/** @brief This method sets the rank proportion (or fractional value) that establish the Kth ranked value of
|
||||
the partial Hausdorff distance. Experimentally had been shown that 0.6 is a good value to compare
|
||||
shapes.
|
||||
|
||||
@param rankProportion fractional value (between 0 and 1).
|
||||
*/
|
||||
CV_WRAP virtual void setRankProportion(float rankProportion) = 0;
|
||||
CV_WRAP virtual float getRankProportion() const = 0;
|
||||
};
|
||||
|
||||
/* Constructor */
|
||||
CV_EXPORTS_W Ptr<HausdorffDistanceExtractor> createHausdorffDistanceExtractor(int distanceFlag=cv::NORM_L2, float rankProp=0.6f);
|
||||
|
||||
//! @}
|
||||
|
||||
} // cv
|
||||
#endif
|
||||
132
3rdparty/include/opencv2/shape/shape_transformer.hpp
vendored
Normal file
132
3rdparty/include/opencv2/shape/shape_transformer.hpp
vendored
Normal file
@ -0,0 +1,132 @@
|
||||
/*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.
|
||||
// Copyright (C) 2013, OpenCV Foundation, 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_SHAPE_SHAPE_TRANSFORM_HPP__
|
||||
#define __OPENCV_SHAPE_SHAPE_TRANSFORM_HPP__
|
||||
#include <vector>
|
||||
#include "opencv2/core.hpp"
|
||||
#include "opencv2/imgproc.hpp"
|
||||
|
||||
namespace cv
|
||||
{
|
||||
|
||||
//! @addtogroup shape
|
||||
//! @{
|
||||
|
||||
/** @brief Abstract base class for shape transformation algorithms.
|
||||
*/
|
||||
class CV_EXPORTS_W ShapeTransformer : public Algorithm
|
||||
{
|
||||
public:
|
||||
/** @brief Estimate the transformation parameters of the current transformer algorithm, based on point matches.
|
||||
|
||||
@param transformingShape Contour defining first shape.
|
||||
@param targetShape Contour defining second shape (Target).
|
||||
@param matches Standard vector of Matches between points.
|
||||
*/
|
||||
CV_WRAP virtual void estimateTransformation(InputArray transformingShape, InputArray targetShape,
|
||||
std::vector<DMatch>& matches) = 0;
|
||||
|
||||
/** @brief Apply a transformation, given a pre-estimated transformation parameters.
|
||||
|
||||
@param input Contour (set of points) to apply the transformation.
|
||||
@param output Output contour.
|
||||
*/
|
||||
CV_WRAP virtual float applyTransformation(InputArray input, OutputArray output=noArray()) = 0;
|
||||
|
||||
/** @brief Apply a transformation, given a pre-estimated transformation parameters, to an Image.
|
||||
|
||||
@param transformingImage Input image.
|
||||
@param output Output image.
|
||||
@param flags Image interpolation method.
|
||||
@param borderMode border style.
|
||||
@param borderValue border value.
|
||||
*/
|
||||
CV_WRAP virtual void warpImage(InputArray transformingImage, OutputArray output,
|
||||
int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT,
|
||||
const Scalar& borderValue=Scalar()) const = 0;
|
||||
};
|
||||
|
||||
/***********************************************************************************/
|
||||
/***********************************************************************************/
|
||||
|
||||
/** @brief Definition of the transformation
|
||||
|
||||
ocupied in the paper "Principal Warps: Thin-Plate Splines and Decomposition of Deformations", by
|
||||
F.L. Bookstein (PAMI 1989). :
|
||||
*/
|
||||
class CV_EXPORTS_W ThinPlateSplineShapeTransformer : public ShapeTransformer
|
||||
{
|
||||
public:
|
||||
/** @brief Set the regularization parameter for relaxing the exact interpolation requirements of the TPS
|
||||
algorithm.
|
||||
|
||||
@param beta value of the regularization parameter.
|
||||
*/
|
||||
CV_WRAP virtual void setRegularizationParameter(double beta) = 0;
|
||||
CV_WRAP virtual double getRegularizationParameter() const = 0;
|
||||
};
|
||||
|
||||
/** Complete constructor */
|
||||
CV_EXPORTS_W Ptr<ThinPlateSplineShapeTransformer>
|
||||
createThinPlateSplineShapeTransformer(double regularizationParameter=0);
|
||||
|
||||
/***********************************************************************************/
|
||||
/***********************************************************************************/
|
||||
|
||||
/** @brief Wrapper class for the OpenCV Affine Transformation algorithm. :
|
||||
*/
|
||||
class CV_EXPORTS_W AffineTransformer : public ShapeTransformer
|
||||
{
|
||||
public:
|
||||
CV_WRAP virtual void setFullAffine(bool fullAffine) = 0;
|
||||
CV_WRAP virtual bool getFullAffine() const = 0;
|
||||
};
|
||||
|
||||
/** Complete constructor */
|
||||
CV_EXPORTS_W Ptr<AffineTransformer> createAffineTransformer(bool fullAffine);
|
||||
|
||||
//! @}
|
||||
|
||||
} // cv
|
||||
#endif
|
||||
Reference in New Issue
Block a user