Diff: include/opencv2/shape/shape_distance.hpp

Revision:

0:0e0631af0305

diff -r 000000000000 -r 0e0631af0305 include/opencv2/shape/shape_distance.hpp
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/include/opencv2/shape/shape_distance.hpp	Fri Jan 29 04:53:38 2021 +0000
@@ -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