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Diffstat (limited to 'thirdparty1/linux/include/opencv2/shape')
5 files changed, 587 insertions, 0 deletions
diff --git a/thirdparty1/linux/include/opencv2/shape/emdL1.hpp b/thirdparty1/linux/include/opencv2/shape/emdL1.hpp new file mode 100644 index 0000000..a15d68c --- /dev/null +++ b/thirdparty1/linux/include/opencv2/shape/emdL1.hpp @@ -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 diff --git a/thirdparty1/linux/include/opencv2/shape/hist_cost.hpp b/thirdparty1/linux/include/opencv2/shape/hist_cost.hpp new file mode 100644 index 0000000..21d0d68 --- /dev/null +++ b/thirdparty1/linux/include/opencv2/shape/hist_cost.hpp @@ -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 diff --git a/thirdparty1/linux/include/opencv2/shape/shape.hpp b/thirdparty1/linux/include/opencv2/shape/shape.hpp new file mode 100644 index 0000000..5c4da3c --- /dev/null +++ b/thirdparty1/linux/include/opencv2/shape/shape.hpp @@ -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" diff --git a/thirdparty1/linux/include/opencv2/shape/shape_distance.hpp b/thirdparty1/linux/include/opencv2/shape/shape_distance.hpp new file mode 100644 index 0000000..e4c3a87 --- /dev/null +++ b/thirdparty1/linux/include/opencv2/shape/shape_distance.hpp @@ -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 diff --git a/thirdparty1/linux/include/opencv2/shape/shape_transformer.hpp b/thirdparty1/linux/include/opencv2/shape/shape_transformer.hpp new file mode 100644 index 0000000..ace104e --- /dev/null +++ b/thirdparty1/linux/include/opencv2/shape/shape_transformer.hpp @@ -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 |