/*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 #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& 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 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 createAffineTransformer(bool fullAffine); //! @} } // cv #endif