/*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) 2015, 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_SINUSOIDAL_PATTERN_HPP__ #define __OPENCV_SINUSOIDAL_PATTERN_HPP__ #include "opencv2/core.hpp" #include "opencv2/imgproc.hpp" #include "opencv2/structured_light/structured_light.hpp" #include #include namespace cv { namespace structured_light { //! @addtogroup structured_light //! @{ //! Type of sinusoidal pattern profilometry methods. enum{ FTP = 0, PSP = 1, FAPS = 2 }; /** * @brief Class implementing Fourier transform profilometry (FTP) , phase-shifting profilometry (PSP) * and Fourier-assisted phase-shifting profilometry (FAPS) based on @cite faps. * This class generates sinusoidal patterns that can be used with FTP, PSP and FAPS. */ class CV_EXPORTS_W SinusoidalPattern : public StructuredLightPattern { public: /** * @brief Parameters of SinusoidalPattern constructor * @param width Projector's width. * @param height Projector's height. * @param nbrOfPeriods Number of period along the patterns direction. * @param shiftValue Phase shift between two consecutive patterns. * @param methodId Allow to choose between FTP, PSP and FAPS. * @param nbrOfPixelsBetweenMarkers Number of pixels between two consecutive markers on the same row. * @param setMarkers Allow to set markers on the patterns. * @param markersLocation vector used to store markers location on the patterns. */ struct CV_EXPORTS_W Params { CV_WRAP Params(); CV_PROP_RW int width; CV_PROP_RW int height; CV_PROP_RW int nbrOfPeriods; CV_PROP_RW float shiftValue; CV_PROP_RW int methodId; CV_PROP_RW int nbrOfPixelsBetweenMarkers; CV_PROP_RW bool horizontal; CV_PROP_RW bool setMarkers; std::vector markersLocation; }; /** * @brief Constructor. * @param parameters SinusoidalPattern parameters SinusoidalPattern::Params: width, height of the projector and patterns parameters. * */ CV_WRAP static Ptr create( Ptr parameters = makePtr() ); /** * @brief Compute a wrapped phase map from sinusoidal patterns. * @param patternImages Input data to compute the wrapped phase map. * @param wrappedPhaseMap Wrapped phase map obtained through one of the three methods. * @param shadowMask Mask used to discard shadow regions. * @param fundamental Fundamental matrix used to compute epipolar lines and ease the matching step. */ CV_WRAP virtual void computePhaseMap( InputArrayOfArrays patternImages, OutputArray wrappedPhaseMap, OutputArray shadowMask = noArray(), InputArray fundamental = noArray()) = 0; /** * @brief Unwrap the wrapped phase map to remove phase ambiguities. * @param wrappedPhaseMap The wrapped phase map computed from the pattern. * @param unwrappedPhaseMap The unwrapped phase map used to find correspondences between the two devices. * @param camSize Resolution of the camera. * @param shadowMask Mask used to discard shadow regions. */ CV_WRAP virtual void unwrapPhaseMap( InputArray wrappedPhaseMap, OutputArray unwrappedPhaseMap, cv::Size camSize, InputArray shadowMask = noArray() ) = 0; /** * @brief Find correspondences between the two devices thanks to unwrapped phase maps. * @param projUnwrappedPhaseMap Projector's unwrapped phase map. * @param camUnwrappedPhaseMap Camera's unwrapped phase map. * @param matches Images used to display correspondences map. */ CV_WRAP virtual void findProCamMatches( InputArray projUnwrappedPhaseMap, InputArray camUnwrappedPhaseMap, OutputArrayOfArrays matches ) = 0; /** * @brief compute the data modulation term. * @param patternImages captured images with projected patterns. * @param dataModulationTerm Mat where the data modulation term is saved. * @param shadowMask Mask used to discard shadow regions. */ CV_WRAP virtual void computeDataModulationTerm( InputArrayOfArrays patternImages, OutputArray dataModulationTerm, InputArray shadowMask ) = 0; }; //! @} } } #endif