CUndistortMap.cpp

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/* +---------------------------------------------------------------------------+
   |                     Mobile Robot Programming Toolkit (MRPT)               |
   |                          http://www.mrpt.org/                             |
   |                                                                           |
   | Copyright (c) 2005-2017, Individual contributors, see AUTHORS file        |
   | See: http://www.mrpt.org/Authors - All rights reserved.                   |
   | Released under BSD License. See details in http://www.mrpt.org/License    |
   +---------------------------------------------------------------------------+ */

#include "vision-precomp.h"   // Precompiled headers
#include <mrpt/vision/CUndistortMap.h>

// Universal include for all versions of OpenCV
#include <mrpt/otherlibs/do_opencv_includes.h> 

using namespace mrpt;
using namespace mrpt::vision;


// Ctor: Leave all vectors empty
CUndistortMap::CUndistortMap()
{
}


/** Prepares the mapping from the distortion parameters of a camera.
  * Must be called before invoking \a undistort().
  */
void CUndistortMap::setFromCamParams(const mrpt::utils::TCamera &campar)
{
        MRPT_START
#if MRPT_HAS_OPENCV && MRPT_OPENCV_VERSION_NUM>=0x200
        m_camera_params = campar;

        // Convert to opencv's format:
        double aux1[3][3], aux2[1][5];
        for (int i=0;i<3;i++)
        for (int j=0;j<3;j++)
        aux1[i][j] = campar.intrinsicParams(i,j);
        for (int i=0;i<5;i++)
        aux2[0][i]=campar.dist[i];

        const cv::Mat inMat( 3,3, CV_64F, aux1 );
        const cv::Mat distM( 1, 5, CV_64F, aux2 );

        m_dat_mapx.resize(2*campar.nrows*campar.ncols);
        m_dat_mapy.resize(campar.nrows*campar.ncols);

        CvMat mapx = cvMat(campar.nrows,campar.ncols,  CV_16SC2, &m_dat_mapx[0] );
        CvMat mapy = cvMat(campar.nrows,campar.ncols,  CV_16UC1, &m_dat_mapy[0] );

        cv::Mat _mapx = cv::cvarrToMat(&mapx,false);
        cv::Mat _mapy = cv::cvarrToMat(&mapy,false);

        cv::initUndistortRectifyMap( inMat, distM, cv::Mat(), inMat, _mapx.size(), _mapx.type(), _mapx, _mapy );
#else
        THROW_EXCEPTION("MRPT built without OpenCV >=2.0.0!")
#endif
        MRPT_END
}

/** Undistort the input image and saves the result in-place- \a setFromCamParams() must have been set prior to calling this.
  */
void CUndistortMap::undistort(const mrpt::utils::CImage &in_img, mrpt::utils::CImage &out_img) const
{
        MRPT_START
        if (m_dat_mapx.empty())
                THROW_EXCEPTION("Error: setFromCamParams() must be called prior to undistort().")

#if MRPT_HAS_OPENCV && MRPT_OPENCV_VERSION_NUM>=0x200
        CvMat mapx = cvMat(m_camera_params.nrows,m_camera_params.ncols,  CV_16SC2, const_cast<int16_t*>(&m_dat_mapx[0]) );  // Wrappers on the data as a CvMat's.
        CvMat mapy = cvMat(m_camera_params.nrows,m_camera_params.ncols,  CV_16UC1, const_cast<uint16_t*>(&m_dat_mapy[0]) );

        const IplImage *srcImg = in_img.getAs<IplImage>();      // Source Image
        IplImage *outImg = cvCreateImage( cvGetSize( srcImg ), srcImg->depth, srcImg->nChannels );
        cvRemap(srcImg, outImg, &mapx, &mapy);  //cv::remap(src, dst_part, map1_part, map2_part, INTER_LINEAR, BORDER_CONSTANT );
        out_img.setFromIplImage(outImg);
#endif
        MRPT_END
}

/** Undistort the input image and saves the result in-place- \a setFromCamParams() must have been set prior to calling this.
  */
void CUndistortMap::undistort(mrpt::utils::CImage &in_out_img) const
{
        MRPT_START
        if (m_dat_mapx.empty())
                THROW_EXCEPTION("Error: setFromCamParams() must be called prior to undistort().")

#if MRPT_HAS_OPENCV && MRPT_OPENCV_VERSION_NUM>=0x200
        CvMat mapx = cvMat(m_camera_params.nrows,m_camera_params.ncols,  CV_16SC2, const_cast<int16_t*>(&m_dat_mapx[0]) );  // Wrappers on the data as a CvMat's.
        CvMat mapy = cvMat(m_camera_params.nrows,m_camera_params.ncols,  CV_16UC1, const_cast<uint16_t*>(&m_dat_mapy[0]) );

        const IplImage *srcImg = in_out_img.getAs<IplImage>();  // Source Image
        IplImage *outImg = cvCreateImage( cvGetSize( srcImg ), srcImg->depth, srcImg->nChannels );
        cvRemap(srcImg, outImg, &mapx, &mapy);  //cv::remap(src, dst_part, map1_part, map2_part, INTER_LINEAR, BORDER_CONSTANT );
        in_out_img.setFromIplImage(outImg);
#endif
        MRPT_END
}