/*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_GRAY_CODE_PATTERN_HPP__ #define __OPENCV_GRAY_CODE_PATTERN_HPP__ #include "opencv2/core.hpp" #include "opencv2/structured_light/structured_light.hpp" namespace cv { namespace structured_light { //! @addtogroup structured_light //! @{ /** @brief Class implementing the Gray-code pattern, based on @cite UNDERWORLD. * * The generation of the pattern images is performed with Gray encoding using the traditional white and black colors. * * The information about the two image axes x, y is encoded separately into two different pattern sequences. * A projector P with resolution (P_res_x, P_res_y) will result in Ncols = log 2 (P_res_x) encoded pattern images representing the columns, and * in Nrows = log 2 (P_res_y) encoded pattern images representing the rows. * For example a projector with resolution 1024x768 will result in Ncols = 10 and Nrows = 10. * However, the generated pattern sequence consists of both regular color and color-inverted images: inverted pattern images are images * with the same structure as the original but with inverted colors. * This provides an effective method for easily determining the intensity value of each pixel when it is lit (highest value) and * when it is not lit (lowest value). So for a a projector with resolution 1024x768, the number of pattern images will be Ncols * 2 + Nrows * 2 = 40. * */ class CV_EXPORTS_W GrayCodePattern : public StructuredLightPattern { public: /** @brief Parameters of StructuredLightPattern constructor. * @param width Projector's width. Default value is 1024. * @param height Projector's height. Default value is 768. */ struct CV_EXPORTS Params { Params(); int width; int height; }; /** @brief Constructor @param parameters GrayCodePattern parameters GrayCodePattern::Params: the width and the height of the projector. */ static Ptr create( const GrayCodePattern::Params ¶meters = GrayCodePattern::Params() ); // alias for scripting CV_WRAP static Ptr create( int width, int height ); /** @brief Get the number of pattern images needed for the graycode pattern. * * @return The number of pattern images needed for the graycode pattern. * */ CV_WRAP virtual size_t getNumberOfPatternImages() const = 0; /** @brief Sets the value for white threshold, needed for decoding. * * White threshold is a number between 0-255 that represents the minimum brightness difference required for valid pixels, between the graycode pattern and its inverse images; used in getProjPixel method. * * @param value The desired white threshold value. * */ CV_WRAP virtual void setWhiteThreshold( size_t value ) = 0; /** @brief Sets the value for black threshold, needed for decoding (shadowsmasks computation). * * Black threshold is a number between 0-255 that represents the minimum brightness difference required for valid pixels, between the fully illuminated (white) and the not illuminated images (black); used in computeShadowMasks method. * * @param value The desired black threshold value. * */ CV_WRAP virtual void setBlackThreshold( size_t value ) = 0; /** @brief Generates the all-black and all-white images needed for shadowMasks computation. * * To identify shadow regions, the regions of two images where the pixels are not lit by projector's light and thus where there is not coded information, * the 3DUNDERWORLD algorithm computes a shadow mask for the two cameras views, starting from a white and a black images captured by each camera. * This method generates these two additional images to project. * * @param blackImage The generated all-black CV_8U image, at projector's resolution. * @param whiteImage The generated all-white CV_8U image, at projector's resolution. */ CV_WRAP virtual void getImagesForShadowMasks( InputOutputArray blackImage, InputOutputArray whiteImage ) const = 0; /** @brief For a (x,y) pixel of a camera returns the corresponding projector pixel. * * The function decodes each pixel in the pattern images acquired by a camera into their corresponding decimal numbers representing the projector's column and row, * providing a mapping between camera's and projector's pixel. * * @param patternImages The pattern images acquired by the camera, stored in a grayscale vector < Mat >. * @param x x coordinate of the image pixel. * @param y y coordinate of the image pixel. * @param projPix Projector's pixel corresponding to the camera's pixel: projPix.x and projPix.y are the image coordinates of the projector's pixel corresponding to the pixel being decoded in a camera. */ CV_WRAP virtual bool getProjPixel( InputArrayOfArrays patternImages, int x, int y, CV_OUT Point &projPix ) const = 0; }; //! @} } } #endif