CopterExpress/clover
1
0
Fork 0
mirror of https://github.com/CopterExpress/clover.git synced 2026-05-26 21:19:35 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
378efd9fabf1d7e1e446f68cf143117aa8290b6f
clover/aruco_pose/src/draw.cpp

798 lines
33 KiB
C++
Raw Blame History

// This code is basically taken from https://github.com/opencv/opencv_contrib/blob/master/modules/aruco/src/aruco.cpp
// with some improvements and fixes
#include "draw.h"
using namespace cv;
using namespace cv::aruco;
static void _cvProjectPoints2( const CvMat* object_points, const CvMat* rotation_vector,
const CvMat* translation_vector, const CvMat* camera_matrix,
const CvMat* distortion_coeffs, CvMat* image_points,
CvMat* dpdrot CV_DEFAULT(NULL), CvMat* dpdt CV_DEFAULT(NULL),
CvMat* dpdf CV_DEFAULT(NULL), CvMat* dpdc CV_DEFAULT(NULL),
CvMat* dpddist CV_DEFAULT(NULL),
double aspect_ratio CV_DEFAULT(0));
static void _projectPoints( InputArray objectPoints,
InputArray rvec, InputArray tvec,
InputArray cameraMatrix, InputArray distCoeffs,
OutputArray imagePoints,
OutputArray jacobian = noArray(),
double aspectRatio = 0 );
void _drawPlanarBoard(Board *_board, Size outSize, OutputArray _img, int marginSize,
int borderBits) {
CV_Assert(outSize.area() > 0);
CV_Assert(marginSize >= 0);
_img.create(outSize, CV_8UC1);
Mat out = _img.getMat();
out.setTo(Scalar::all(255));
out.adjustROI(-marginSize, -marginSize, -marginSize, -marginSize);
// calculate max and min values in XY plane
CV_Assert(_board->objPoints.size() > 0);
float minX, maxX, minY, maxY;
minX = maxX = _board->objPoints[0][0].x;
minY = maxY = _board->objPoints[0][0].y;
for(unsigned int i = 0; i < _board->objPoints.size(); i++) {
for(int j = 0; j < 4; j++) {
minX = min(minX, _board->objPoints[i][j].x);
maxX = max(maxX, _board->objPoints[i][j].x);
minY = min(minY, _board->objPoints[i][j].y);
maxY = max(maxY, _board->objPoints[i][j].y);
}
}
float sizeX = maxX - minX;
float sizeY = maxY - minY;
// proportion transformations
float xReduction = sizeX / float(out.cols);
float yReduction = sizeY / float(out.rows);
// determine the zone where the markers are placed
if(xReduction > yReduction) {
int nRows = int(sizeY / xReduction);
int rowsMargins = (out.rows - nRows) / 2;
out.adjustROI(-rowsMargins, -rowsMargins, 0, 0);
} else {
int nCols = int(sizeX / yReduction);
int colsMargins = (out.cols - nCols) / 2;
out.adjustROI(0, 0, -colsMargins, -colsMargins);
}
// now paint each marker
Dictionary &dictionary = *(_board->dictionary);
Mat marker;
Point2f outCorners[3];
Point2f inCorners[3];
for(unsigned int m = 0; m < _board->objPoints.size(); m++) {
// transform corners to markerZone coordinates
for(int j = 0; j < 3; j++) {
Point2f pf = Point2f(_board->objPoints[m][j].x, _board->objPoints[m][j].y);
// move top left to 0, 0
pf -= Point2f(minX, minY);
pf.x = pf.x / sizeX * float(out.cols);
pf.y = (1.0f - pf.y / sizeY) * float(out.rows);
outCorners[j] = pf;
}
// get marker
Size dst_sz(outCorners[2] - outCorners[0]); // assuming CCW order
// dst_sz.width = dst_sz.height = std::min(dst_sz.width, dst_sz.height); //marker should be square
double diag = std::round(std::hypot(dst_sz.width, dst_sz.height));
int side = std::round(diag / std::sqrt(2));
dictionary.drawMarker(_board->ids[m], side, marker, borderBits);
// interpolate tiny marker to marker position in markerZone
inCorners[0] = Point2f(-0.5f, -0.5f);
inCorners[1] = Point2f(marker.cols - 0.5f, -0.5f);
inCorners[2] = Point2f(marker.cols - 0.5f, marker.rows - 0.5f);
// remove perspective
Mat transformation = getAffineTransform(inCorners, outCorners);
warpAffine(marker, out, transformation, out.size(), INTER_LINEAR,
BORDER_TRANSPARENT);
}
}
/* Draw a (potentially partially visible) line. */
static void linePartial(InputOutputArray image, Point3f p1, Point3f p2, const Scalar& color,
int thickness = 1, int lineType = LINE_8, int shift = 0)
{
// If both points are behind the screen, don't draw anything
if (p1.z <= 0 && p2.z <= 0)
{
return;
}
Point2f p1p{p1.x, p1.y};
Point2f p2p{p2.x, p2.y};
// If points are on the different sides of the plane, compute intersection point
if (p1.z * p2.z < 0)
{
// Compute intersection point with the screen
// We denote alpha as such:
// xi = (1 - alpha) * x1 + alpha * x2
// yi = (1 - alpha) * y1 + alpha * y2
// zi = (1 - alpha) * z1 + alpha * z2 = 0
// Thus, alpha can be expressed as
// alpha = z1 / (z1 - z2)
float alpha = p1.z / (p1.z - p2.z);
Point2f pi{(1 - alpha) * p1.x + alpha * p2.x, (1 - alpha) * p1.y + alpha * p2.y};
// Now, if z1 is negative, we draw the line from (xi, yi) to (x2, y2), else we draw from (x1, y1) to (xi, yi)
if (p1.z < 0)
{
p1p = pi;
}
else
{
p2p = pi;
}
}
line(image, p1p, p2p, color, thickness, lineType, shift);
}
void _drawAxis(InputOutputArray _image, InputArray _cameraMatrix, InputArray _distCoeffs,
InputArray _rvec, InputArray _tvec, float length) {
CV_Assert(_image.getMat().total() != 0 &&
(_image.getMat().channels() == 1 || _image.getMat().channels() == 3));
CV_Assert(length > 0);
// project axis points
std::vector< Point3f > axisPoints;
axisPoints.push_back(Point3f(0, 0, 0));
axisPoints.push_back(Point3f(length, 0, 0));
axisPoints.push_back(Point3f(0, length, 0));
axisPoints.push_back(Point3f(0, 0, length));
std::vector< Point3f > imagePointsZ;
_projectPoints(axisPoints, _rvec, _tvec, _cameraMatrix, _distCoeffs, imagePointsZ);
// draw axis lines
linePartial(_image, imagePointsZ[0], imagePointsZ[1], Scalar(0, 0, 255), 3);
linePartial(_image, imagePointsZ[0], imagePointsZ[2], Scalar(0, 255, 0), 3);
linePartial(_image, imagePointsZ[0], imagePointsZ[3], Scalar(255, 0, 0), 3);
}
static CvMat _cvMat(const cv::Mat& m)
{
CvMat self;
CV_DbgAssert(m.dims <= 2);
self = cvMat(m.rows, m.dims == 1 ? 1 : m.cols, m.type(), m.data);
self.step = (int)m.step[0];
self.type = (self.type & ~cv::Mat::CONTINUOUS_FLAG) | (m.flags & cv::Mat::CONTINUOUS_FLAG);
return self;
}
static void _projectPoints( InputArray _opoints,
InputArray _rvec,
InputArray _tvec,
InputArray _cameraMatrix,
InputArray _distCoeffs,
OutputArray _ipoints,
OutputArray _jacobian,
double aspectRatio )
{
Mat opoints = _opoints.getMat();
int npoints = opoints.checkVector(3), depth = opoints.depth();
CV_Assert(npoints >= 0 && (depth == CV_32F || depth == CV_64F));
CvMat dpdrot, dpdt, dpdf, dpdc, dpddist;
CvMat *pdpdrot=0, *pdpdt=0, *pdpdf=0, *pdpdc=0, *pdpddist=0;
CV_Assert( _ipoints.needed() );
_ipoints.create(npoints, 1, CV_MAKETYPE(depth, 3), -1, true);
Mat imagePoints = _ipoints.getMat();
CvMat c_imagePoints = _cvMat(imagePoints);
CvMat c_objectPoints = _cvMat(opoints);
Mat cameraMatrix = _cameraMatrix.getMat();
Mat rvec = _rvec.getMat(), tvec = _tvec.getMat();
CvMat c_cameraMatrix = _cvMat(cameraMatrix);
CvMat c_rvec = _cvMat(rvec), c_tvec = _cvMat(tvec);
double dc0buf[5]={0};
Mat dc0(5,1,CV_64F,dc0buf);
Mat distCoeffs = _distCoeffs.getMat();
if( distCoeffs.empty() )
distCoeffs = dc0;
CvMat c_distCoeffs = _cvMat(distCoeffs);
int ndistCoeffs = distCoeffs.rows + distCoeffs.cols - 1;
Mat jacobian;
if( _jacobian.needed() )
{
_jacobian.create(npoints*2, 3+3+2+2+ndistCoeffs, CV_64F);
jacobian = _jacobian.getMat();
pdpdrot = &(dpdrot = _cvMat(jacobian.colRange(0, 3)));
pdpdt = &(dpdt = _cvMat(jacobian.colRange(3, 6)));
pdpdf = &(dpdf = _cvMat(jacobian.colRange(6, 8)));
pdpdc = &(dpdc = _cvMat(jacobian.colRange(8, 10)));
pdpddist = &(dpddist = _cvMat(jacobian.colRange(10, 10+ndistCoeffs)));
}
_cvProjectPoints2( &c_objectPoints, &c_rvec, &c_tvec, &c_cameraMatrix, &c_distCoeffs,
&c_imagePoints, pdpdrot, pdpdt, pdpdf, pdpdc, pdpddist, aspectRatio );
}
namespace _detail
{
template <typename FLOAT>
void computeTiltProjectionMatrix(FLOAT tauX,
FLOAT tauY,
Matx<FLOAT, 3, 3>* matTilt = 0,
Matx<FLOAT, 3, 3>* dMatTiltdTauX = 0,
Matx<FLOAT, 3, 3>* dMatTiltdTauY = 0,
Matx<FLOAT, 3, 3>* invMatTilt = 0)
{
FLOAT cTauX = cos(tauX);
FLOAT sTauX = sin(tauX);
FLOAT cTauY = cos(tauY);
FLOAT sTauY = sin(tauY);
Matx<FLOAT, 3, 3> matRotX = Matx<FLOAT, 3, 3>(1,0,0,0,cTauX,sTauX,0,-sTauX,cTauX);
Matx<FLOAT, 3, 3> matRotY = Matx<FLOAT, 3, 3>(cTauY,0,-sTauY,0,1,0,sTauY,0,cTauY);
Matx<FLOAT, 3, 3> matRotXY = matRotY * matRotX;
Matx<FLOAT, 3, 3> matProjZ = Matx<FLOAT, 3, 3>(matRotXY(2,2),0,-matRotXY(0,2),0,matRotXY(2,2),-matRotXY(1,2),0,0,1);
if (matTilt)
{
// Matrix for trapezoidal distortion of tilted image sensor
*matTilt = matProjZ * matRotXY;
}
if (dMatTiltdTauX)
{
// Derivative with respect to tauX
Matx<FLOAT, 3, 3> dMatRotXYdTauX = matRotY * Matx<FLOAT, 3, 3>(0,0,0,0,-sTauX,cTauX,0,-cTauX,-sTauX);
Matx<FLOAT, 3, 3> dMatProjZdTauX = Matx<FLOAT, 3, 3>(dMatRotXYdTauX(2,2),0,-dMatRotXYdTauX(0,2),
0,dMatRotXYdTauX(2,2),-dMatRotXYdTauX(1,2),0,0,0);
*dMatTiltdTauX = (matProjZ * dMatRotXYdTauX) + (dMatProjZdTauX * matRotXY);
}
if (dMatTiltdTauY)
{
// Derivative with respect to tauY
Matx<FLOAT, 3, 3> dMatRotXYdTauY = Matx<FLOAT, 3, 3>(-sTauY,0,-cTauY,0,0,0,cTauY,0,-sTauY) * matRotX;
Matx<FLOAT, 3, 3> dMatProjZdTauY = Matx<FLOAT, 3, 3>(dMatRotXYdTauY(2,2),0,-dMatRotXYdTauY(0,2),
0,dMatRotXYdTauY(2,2),-dMatRotXYdTauY(1,2),0,0,0);
*dMatTiltdTauY = (matProjZ * dMatRotXYdTauY) + (dMatProjZdTauY * matRotXY);
}
if (invMatTilt)
{
FLOAT inv = 1./matRotXY(2,2);
Matx<FLOAT, 3, 3> invMatProjZ = Matx<FLOAT, 3, 3>(inv,0,inv*matRotXY(0,2),0,inv,inv*matRotXY(1,2),0,0,1);
*invMatTilt = matRotXY.t()*invMatProjZ;
}
}
}
static const char* cvDistCoeffErr = "Distortion coefficients must be 1x4, 4x1, 1x5, 5x1, 1x8, 8x1, 1x12, 12x1, 1x14 or 14x1 floating-point vector";
static void _cvProjectPoints2Internal( const CvMat* objectPoints,
const CvMat* r_vec,
const CvMat* t_vec,
const CvMat* A,
const CvMat* distCoeffs,
CvMat* imagePoints, CvMat* dpdr CV_DEFAULT(NULL),
CvMat* dpdt CV_DEFAULT(NULL), CvMat* dpdf CV_DEFAULT(NULL),
CvMat* dpdc CV_DEFAULT(NULL), CvMat* dpdk CV_DEFAULT(NULL),
CvMat* dpdo CV_DEFAULT(NULL),
double aspectRatio CV_DEFAULT(0) )
{
Ptr<CvMat> matM, _m;
Ptr<CvMat> _dpdr, _dpdt, _dpdc, _dpdf, _dpdk;
Ptr<CvMat> _dpdo;
int i, j, count;
int calc_derivatives;
const CvPoint3D64f* M;
CvPoint3D64f* m;
double r[3], R[9], dRdr[27], t[3], a[9], k[14] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0}, fx, fy, cx, cy;
Matx33d matTilt = Matx33d::eye();
Matx33d dMatTiltdTauX(0,0,0,0,0,0,0,-1,0);
Matx33d dMatTiltdTauY(0,0,0,0,0,0,1,0,0);
CvMat _r, _t, _a = cvMat( 3, 3, CV_64F, a ), _k;
CvMat matR = cvMat( 3, 3, CV_64F, R ), _dRdr = cvMat( 3, 9, CV_64F, dRdr );
double *dpdr_p = 0, *dpdt_p = 0, *dpdk_p = 0, *dpdf_p = 0, *dpdc_p = 0;
double* dpdo_p = 0;
int dpdr_step = 0, dpdt_step = 0, dpdk_step = 0, dpdf_step = 0, dpdc_step = 0;
int dpdo_step = 0;
bool fixedAspectRatio = aspectRatio > FLT_EPSILON;
if( !CV_IS_MAT(objectPoints) || !CV_IS_MAT(r_vec) ||
!CV_IS_MAT(t_vec) || !CV_IS_MAT(A) ||
/*!CV_IS_MAT(distCoeffs) ||*/ !CV_IS_MAT(imagePoints) )
CV_Error( CV_StsBadArg, "One of required arguments is not a valid matrix" );
int total = objectPoints->rows * objectPoints->cols * CV_MAT_CN(objectPoints->type);
if(total % 3 != 0)
{
//we have stopped support of homogeneous coordinates because it cause ambiguity in interpretation of the input data
CV_Error( CV_StsBadArg, "Homogeneous coordinates are not supported" );
}
count = total / 3;
if( CV_IS_CONT_MAT(objectPoints->type) &&
(CV_MAT_DEPTH(objectPoints->type) == CV_32F || CV_MAT_DEPTH(objectPoints->type) == CV_64F)&&
((objectPoints->rows == 1 && CV_MAT_CN(objectPoints->type) == 3) ||
(objectPoints->rows == count && CV_MAT_CN(objectPoints->type)*objectPoints->cols == 3) ||
(objectPoints->rows == 3 && CV_MAT_CN(objectPoints->type) == 1 && objectPoints->cols == count)))
{
matM.reset(cvCreateMat( objectPoints->rows, objectPoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(objectPoints->type)) ));
cvConvert(objectPoints, matM);
}
else
{
// matM = cvCreateMat( 1, count, CV_64FC3 );
// cvConvertPointsHomogeneous( objectPoints, matM );
CV_Error( CV_StsBadArg, "Homogeneous coordinates are not supported" );
}
if( CV_IS_CONT_MAT(imagePoints->type) &&
(CV_MAT_DEPTH(imagePoints->type) == CV_32F || CV_MAT_DEPTH(imagePoints->type) == CV_64F) &&
((imagePoints->rows == 1 && CV_MAT_CN(imagePoints->type) == 3) ||
(imagePoints->rows == count && CV_MAT_CN(imagePoints->type)*imagePoints->cols == 3) ||
(imagePoints->rows == 3 && CV_MAT_CN(imagePoints->type) == 1 && imagePoints->cols == count)))
{
_m.reset(cvCreateMat( imagePoints->rows, imagePoints->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(imagePoints->type)) ));
cvConvert(imagePoints, _m);
}
else
{
// _m = cvCreateMat( 1, count, CV_64FC2 );
CV_Error( CV_StsBadArg, "Homogeneous coordinates are not supported" );
}
M = (CvPoint3D64f*)matM->data.db;
m = (CvPoint3D64f*)_m->data.db;
if( (CV_MAT_DEPTH(r_vec->type) != CV_64F && CV_MAT_DEPTH(r_vec->type) != CV_32F) ||
(((r_vec->rows != 1 && r_vec->cols != 1) ||
r_vec->rows*r_vec->cols*CV_MAT_CN(r_vec->type) != 3) &&
((r_vec->rows != 3 && r_vec->cols != 3) || CV_MAT_CN(r_vec->type) != 1)))
CV_Error( CV_StsBadArg, "Rotation must be represented by 1x3 or 3x1 "
"floating-point rotation vector, or 3x3 rotation matrix" );
if( r_vec->rows == 3 && r_vec->cols == 3 )
{
_r = cvMat( 3, 1, CV_64FC1, r );
cvRodrigues2( r_vec, &_r );
cvRodrigues2( &_r, &matR, &_dRdr );
cvCopy( r_vec, &matR );
}
else
{
_r = cvMat( r_vec->rows, r_vec->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(r_vec->type)), r );
cvConvert( r_vec, &_r );
cvRodrigues2( &_r, &matR, &_dRdr );
}
if( (CV_MAT_DEPTH(t_vec->type) != CV_64F && CV_MAT_DEPTH(t_vec->type) != CV_32F) ||
(t_vec->rows != 1 && t_vec->cols != 1) ||
t_vec->rows*t_vec->cols*CV_MAT_CN(t_vec->type) != 3 )
CV_Error( CV_StsBadArg,
"Translation vector must be 1x3 or 3x1 floating-point vector" );
_t = cvMat( t_vec->rows, t_vec->cols, CV_MAKETYPE(CV_64F,CV_MAT_CN(t_vec->type)), t );
cvConvert( t_vec, &_t );
if( (CV_MAT_TYPE(A->type) != CV_64FC1 && CV_MAT_TYPE(A->type) != CV_32FC1) ||
A->rows != 3 || A->cols != 3 )
CV_Error( CV_StsBadArg, "Instrinsic parameters must be 3x3 floating-point matrix" );
cvConvert( A, &_a );
fx = a[0]; fy = a[4];
cx = a[2]; cy = a[5];
if( fixedAspectRatio )
fx = fy*aspectRatio;
if( distCoeffs )
{
if( !CV_IS_MAT(distCoeffs) ||
(CV_MAT_DEPTH(distCoeffs->type) != CV_64F &&
CV_MAT_DEPTH(distCoeffs->type) != CV_32F) ||
(distCoeffs->rows != 1 && distCoeffs->cols != 1) ||
(distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 4 &&
distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 5 &&
distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 8 &&
distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 12 &&
distCoeffs->rows*distCoeffs->cols*CV_MAT_CN(distCoeffs->type) != 14) )
CV_Error( CV_StsBadArg, cvDistCoeffErr );
_k = cvMat( distCoeffs->rows, distCoeffs->cols,
CV_MAKETYPE(CV_64F,CV_MAT_CN(distCoeffs->type)), k );
cvConvert( distCoeffs, &_k );
if(k[12] != 0 || k[13] != 0)
{
_detail::computeTiltProjectionMatrix(k[12], k[13],
&matTilt, &dMatTiltdTauX, &dMatTiltdTauY);
}
}
if( dpdr )
{
if( !CV_IS_MAT(dpdr) ||
(CV_MAT_TYPE(dpdr->type) != CV_32FC1 &&
CV_MAT_TYPE(dpdr->type) != CV_64FC1) ||
dpdr->rows != count*2 || dpdr->cols != 3 )
CV_Error( CV_StsBadArg, "dp/drot must be 2Nx3 floating-point matrix" );
if( CV_MAT_TYPE(dpdr->type) == CV_64FC1 )
{
_dpdr.reset(cvCloneMat(dpdr));
}
else
_dpdr.reset(cvCreateMat( 2*count, 3, CV_64FC1 ));
dpdr_p = _dpdr->data.db;
dpdr_step = _dpdr->step/sizeof(dpdr_p[0]);
}
if( dpdt )
{
if( !CV_IS_MAT(dpdt) ||
(CV_MAT_TYPE(dpdt->type) != CV_32FC1 &&
CV_MAT_TYPE(dpdt->type) != CV_64FC1) ||
dpdt->rows != count*2 || dpdt->cols != 3 )
CV_Error( CV_StsBadArg, "dp/dT must be 2Nx3 floating-point matrix" );
if( CV_MAT_TYPE(dpdt->type) == CV_64FC1 )
{
_dpdt.reset(cvCloneMat(dpdt));
}
else
_dpdt.reset(cvCreateMat( 2*count, 3, CV_64FC1 ));
dpdt_p = _dpdt->data.db;
dpdt_step = _dpdt->step/sizeof(dpdt_p[0]);
}
if( dpdf )
{
if( !CV_IS_MAT(dpdf) ||
(CV_MAT_TYPE(dpdf->type) != CV_32FC1 && CV_MAT_TYPE(dpdf->type) != CV_64FC1) ||
dpdf->rows != count*2 || dpdf->cols != 2 )
CV_Error( CV_StsBadArg, "dp/df must be 2Nx2 floating-point matrix" );
if( CV_MAT_TYPE(dpdf->type) == CV_64FC1 )
{
_dpdf.reset(cvCloneMat(dpdf));
}
else
_dpdf.reset(cvCreateMat( 2*count, 2, CV_64FC1 ));
dpdf_p = _dpdf->data.db;
dpdf_step = _dpdf->step/sizeof(dpdf_p[0]);
}
if( dpdc )
{
if( !CV_IS_MAT(dpdc) ||
(CV_MAT_TYPE(dpdc->type) != CV_32FC1 && CV_MAT_TYPE(dpdc->type) != CV_64FC1) ||
dpdc->rows != count*2 || dpdc->cols != 2 )
CV_Error( CV_StsBadArg, "dp/dc must be 2Nx2 floating-point matrix" );
if( CV_MAT_TYPE(dpdc->type) == CV_64FC1 )
{
_dpdc.reset(cvCloneMat(dpdc));
}
else
_dpdc.reset(cvCreateMat( 2*count, 2, CV_64FC1 ));
dpdc_p = _dpdc->data.db;
dpdc_step = _dpdc->step/sizeof(dpdc_p[0]);
}
if( dpdk )
{
if( !CV_IS_MAT(dpdk) ||
(CV_MAT_TYPE(dpdk->type) != CV_32FC1 && CV_MAT_TYPE(dpdk->type) != CV_64FC1) ||
dpdk->rows != count*2 || (dpdk->cols != 14 && dpdk->cols != 12 && dpdk->cols != 8 && dpdk->cols != 5 && dpdk->cols != 4 && dpdk->cols != 2) )
CV_Error( CV_StsBadArg, "dp/df must be 2Nx14, 2Nx12, 2Nx8, 2Nx5, 2Nx4 or 2Nx2 floating-point matrix" );
if( !distCoeffs )
CV_Error( CV_StsNullPtr, "distCoeffs is NULL while dpdk is not" );
if( CV_MAT_TYPE(dpdk->type) == CV_64FC1 )
{
_dpdk.reset(cvCloneMat(dpdk));
}
else
_dpdk.reset(cvCreateMat( dpdk->rows, dpdk->cols, CV_64FC1 ));
dpdk_p = _dpdk->data.db;
dpdk_step = _dpdk->step/sizeof(dpdk_p[0]);
}
if( dpdo )
{
if( !CV_IS_MAT( dpdo ) || ( CV_MAT_TYPE( dpdo->type ) != CV_32FC1
&& CV_MAT_TYPE( dpdo->type ) != CV_64FC1 )
|| dpdo->rows != count * 2 || dpdo->cols != count * 3 )
CV_Error( CV_StsBadArg, "dp/do must be 2Nx3N floating-point matrix" );
if( CV_MAT_TYPE( dpdo->type ) == CV_64FC1 )
{
_dpdo.reset( cvCloneMat( dpdo ) );
}
else
_dpdo.reset( cvCreateMat( 2 * count, 3 * count, CV_64FC1 ) );
cvZero(_dpdo);
dpdo_p = _dpdo->data.db;
dpdo_step = _dpdo->step / sizeof( dpdo_p[0] );
}
calc_derivatives = dpdr || dpdt || dpdf || dpdc || dpdk || dpdo;
for( i = 0; i < count; i++ )
{
double X = M[i].x, Y = M[i].y, Z = M[i].z;
double x = R[0]*X + R[1]*Y + R[2]*Z + t[0];
double y = R[3]*X + R[4]*Y + R[5]*Z + t[1];
double z = R[6]*X + R[7]*Y + R[8]*Z + t[2];
double r2, r4, r6, a1, a2, a3, cdist, icdist2;
double xd, yd, xd0, yd0, invProj;
Vec3d vecTilt;
Vec3d dVecTilt;
Matx22d dMatTilt;
Vec2d dXdYd;
double z0 = z;
z = z ? 1./z : 1;
x *= z; y *= z;
r2 = x*x + y*y;
r4 = r2*r2;
r6 = r4*r2;
a1 = 2*x*y;
a2 = r2 + 2*x*x;
a3 = r2 + 2*y*y;
cdist = 1 + k[0]*r2 + k[1]*r4 + k[4]*r6;
icdist2 = 1./(1 + k[5]*r2 + k[6]*r4 + k[7]*r6);
xd0 = x*cdist*icdist2 + k[2]*a1 + k[3]*a2 + k[8]*r2+k[9]*r4;
yd0 = y*cdist*icdist2 + k[2]*a3 + k[3]*a1 + k[10]*r2+k[11]*r4;
// additional distortion by projecting onto a tilt plane
vecTilt = matTilt*Vec3d(xd0, yd0, 1);
invProj = vecTilt(2) ? 1./vecTilt(2) : 1;
xd = invProj * vecTilt(0);
yd = invProj * vecTilt(1);
m[i].x = xd*fx + cx;
m[i].y = yd*fy + cy;
m[i].z = z; // Just put the projected Z coordinate here, we mainly care about the sign
if( calc_derivatives )
{
if( dpdc_p )
{
dpdc_p[0] = 1; dpdc_p[1] = 0; // dp_xdc_x; dp_xdc_y
dpdc_p[dpdc_step] = 0;
dpdc_p[dpdc_step+1] = 1;
dpdc_p += dpdc_step*2;
}
if( dpdf_p )
{
if( fixedAspectRatio )
{
dpdf_p[0] = 0; dpdf_p[1] = xd*aspectRatio; // dp_xdf_x; dp_xdf_y
dpdf_p[dpdf_step] = 0;
dpdf_p[dpdf_step+1] = yd;
}
else
{
dpdf_p[0] = xd; dpdf_p[1] = 0;
dpdf_p[dpdf_step] = 0;
dpdf_p[dpdf_step+1] = yd;
}
dpdf_p += dpdf_step*2;
}
for (int row = 0; row < 2; ++row)
for (int col = 0; col < 2; ++col)
dMatTilt(row,col) = matTilt(row,col)*vecTilt(2)
- matTilt(2,col)*vecTilt(row);
double invProjSquare = (invProj*invProj);
dMatTilt *= invProjSquare;
if( dpdk_p )
{
dXdYd = dMatTilt*Vec2d(x*icdist2*r2, y*icdist2*r2);
dpdk_p[0] = fx*dXdYd(0);
dpdk_p[dpdk_step] = fy*dXdYd(1);
dXdYd = dMatTilt*Vec2d(x*icdist2*r4, y*icdist2*r4);
dpdk_p[1] = fx*dXdYd(0);
dpdk_p[dpdk_step+1] = fy*dXdYd(1);
if( _dpdk->cols > 2 )
{
dXdYd = dMatTilt*Vec2d(a1, a3);
dpdk_p[2] = fx*dXdYd(0);
dpdk_p[dpdk_step+2] = fy*dXdYd(1);
dXdYd = dMatTilt*Vec2d(a2, a1);
dpdk_p[3] = fx*dXdYd(0);
dpdk_p[dpdk_step+3] = fy*dXdYd(1);
if( _dpdk->cols > 4 )
{
dXdYd = dMatTilt*Vec2d(x*icdist2*r6, y*icdist2*r6);
dpdk_p[4] = fx*dXdYd(0);
dpdk_p[dpdk_step+4] = fy*dXdYd(1);
if( _dpdk->cols > 5 )
{
dXdYd = dMatTilt*Vec2d(
x*cdist*(-icdist2)*icdist2*r2, y*cdist*(-icdist2)*icdist2*r2);
dpdk_p[5] = fx*dXdYd(0);
dpdk_p[dpdk_step+5] = fy*dXdYd(1);
dXdYd = dMatTilt*Vec2d(
x*cdist*(-icdist2)*icdist2*r4, y*cdist*(-icdist2)*icdist2*r4);
dpdk_p[6] = fx*dXdYd(0);
dpdk_p[dpdk_step+6] = fy*dXdYd(1);
dXdYd = dMatTilt*Vec2d(
x*cdist*(-icdist2)*icdist2*r6, y*cdist*(-icdist2)*icdist2*r6);
dpdk_p[7] = fx*dXdYd(0);
dpdk_p[dpdk_step+7] = fy*dXdYd(1);
if( _dpdk->cols > 8 )
{
dXdYd = dMatTilt*Vec2d(r2, 0);
dpdk_p[8] = fx*dXdYd(0); //s1
dpdk_p[dpdk_step+8] = fy*dXdYd(1); //s1
dXdYd = dMatTilt*Vec2d(r4, 0);
dpdk_p[9] = fx*dXdYd(0); //s2
dpdk_p[dpdk_step+9] = fy*dXdYd(1); //s2
dXdYd = dMatTilt*Vec2d(0, r2);
dpdk_p[10] = fx*dXdYd(0);//s3
dpdk_p[dpdk_step+10] = fy*dXdYd(1); //s3
dXdYd = dMatTilt*Vec2d(0, r4);
dpdk_p[11] = fx*dXdYd(0);//s4
dpdk_p[dpdk_step+11] = fy*dXdYd(1); //s4
if( _dpdk->cols > 12 )
{
dVecTilt = dMatTiltdTauX * Vec3d(xd0, yd0, 1);
dpdk_p[12] = fx * invProjSquare * (
dVecTilt(0) * vecTilt(2) - dVecTilt(2) * vecTilt(0));
dpdk_p[dpdk_step+12] = fy*invProjSquare * (
dVecTilt(1) * vecTilt(2) - dVecTilt(2) * vecTilt(1));
dVecTilt = dMatTiltdTauY * Vec3d(xd0, yd0, 1);
dpdk_p[13] = fx * invProjSquare * (
dVecTilt(0) * vecTilt(2) - dVecTilt(2) * vecTilt(0));
dpdk_p[dpdk_step+13] = fy * invProjSquare * (
dVecTilt(1) * vecTilt(2) - dVecTilt(2) * vecTilt(1));
}
}
}
}
}
dpdk_p += dpdk_step*2;
}
if( dpdt_p )
{
double dxdt[] = { z, 0, -x*z }, dydt[] = { 0, z, -y*z };
for( j = 0; j < 3; j++ )
{
double dr2dt = 2*x*dxdt[j] + 2*y*dydt[j];
double dcdist_dt = k[0]*dr2dt + 2*k[1]*r2*dr2dt + 3*k[4]*r4*dr2dt;
double dicdist2_dt = -icdist2*icdist2*(k[5]*dr2dt + 2*k[6]*r2*dr2dt + 3*k[7]*r4*dr2dt);
double da1dt = 2*(x*dydt[j] + y*dxdt[j]);
double dmxdt = (dxdt[j]*cdist*icdist2 + x*dcdist_dt*icdist2 + x*cdist*dicdist2_dt +
k[2]*da1dt + k[3]*(dr2dt + 4*x*dxdt[j]) + k[8]*dr2dt + 2*r2*k[9]*dr2dt);
double dmydt = (dydt[j]*cdist*icdist2 + y*dcdist_dt*icdist2 + y*cdist*dicdist2_dt +
k[2]*(dr2dt + 4*y*dydt[j]) + k[3]*da1dt + k[10]*dr2dt + 2*r2*k[11]*dr2dt);
dXdYd = dMatTilt*Vec2d(dmxdt, dmydt);
dpdt_p[j] = fx*dXdYd(0);
dpdt_p[dpdt_step+j] = fy*dXdYd(1);
}
dpdt_p += dpdt_step*2;
}
if( dpdr_p )
{
double dx0dr[] =
{
X*dRdr[0] + Y*dRdr[1] + Z*dRdr[2],
X*dRdr[9] + Y*dRdr[10] + Z*dRdr[11],
X*dRdr[18] + Y*dRdr[19] + Z*dRdr[20]
};
double dy0dr[] =
{
X*dRdr[3] + Y*dRdr[4] + Z*dRdr[5],
X*dRdr[12] + Y*dRdr[13] + Z*dRdr[14],
X*dRdr[21] + Y*dRdr[22] + Z*dRdr[23]
};
double dz0dr[] =
{
X*dRdr[6] + Y*dRdr[7] + Z*dRdr[8],
X*dRdr[15] + Y*dRdr[16] + Z*dRdr[17],
X*dRdr[24] + Y*dRdr[25] + Z*dRdr[26]
};
for( j = 0; j < 3; j++ )
{
double dxdr = z*(dx0dr[j] - x*dz0dr[j]);
double dydr = z*(dy0dr[j] - y*dz0dr[j]);
double dr2dr = 2*x*dxdr + 2*y*dydr;
double dcdist_dr = (k[0] + 2*k[1]*r2 + 3*k[4]*r4)*dr2dr;
double dicdist2_dr = -icdist2*icdist2*(k[5] + 2*k[6]*r2 + 3*k[7]*r4)*dr2dr;
double da1dr = 2*(x*dydr + y*dxdr);
double dmxdr = (dxdr*cdist*icdist2 + x*dcdist_dr*icdist2 + x*cdist*dicdist2_dr +
k[2]*da1dr + k[3]*(dr2dr + 4*x*dxdr) + (k[8] + 2*r2*k[9])*dr2dr);
double dmydr = (dydr*cdist*icdist2 + y*dcdist_dr*icdist2 + y*cdist*dicdist2_dr +
k[2]*(dr2dr + 4*y*dydr) + k[3]*da1dr + (k[10] + 2*r2*k[11])*dr2dr);
dXdYd = dMatTilt*Vec2d(dmxdr, dmydr);
dpdr_p[j] = fx*dXdYd(0);
dpdr_p[dpdr_step+j] = fy*dXdYd(1);
}
dpdr_p += dpdr_step*2;
}
if( dpdo_p )
{
double dxdo[] = { z * ( R[0] - x * z * z0 * R[6] ),
z * ( R[1] - x * z * z0 * R[7] ),
z * ( R[2] - x * z * z0 * R[8] ) };
double dydo[] = { z * ( R[3] - y * z * z0 * R[6] ),
z * ( R[4] - y * z * z0 * R[7] ),
z * ( R[5] - y * z * z0 * R[8] ) };
for( j = 0; j < 3; j++ )
{
double dr2do = 2 * x * dxdo[j] + 2 * y * dydo[j];
double dr4do = 2 * r2 * dr2do;
double dr6do = 3 * r4 * dr2do;
double da1do = 2 * y * dxdo[j] + 2 * x * dydo[j];
double da2do = dr2do + 4 * x * dxdo[j];
double da3do = dr2do + 4 * y * dydo[j];
double dcdist_do
= k[0] * dr2do + k[1] * dr4do + k[4] * dr6do;
double dicdist2_do = -icdist2 * icdist2
* ( k[5] * dr2do + k[6] * dr4do + k[7] * dr6do );
double dxd0_do = cdist * icdist2 * dxdo[j]
+ x * icdist2 * dcdist_do + x * cdist * dicdist2_do
+ k[2] * da1do + k[3] * da2do + k[8] * dr2do
+ k[9] * dr4do;
double dyd0_do = cdist * icdist2 * dydo[j]
+ y * icdist2 * dcdist_do + y * cdist * dicdist2_do
+ k[2] * da3do + k[3] * da1do + k[10] * dr2do
+ k[11] * dr4do;
dXdYd = dMatTilt * Vec2d( dxd0_do, dyd0_do );
dpdo_p[i * 3 + j] = fx * dXdYd( 0 );
dpdo_p[dpdo_step + i * 3 + j] = fy * dXdYd( 1 );
}
dpdo_p += dpdo_step * 2;
}
}
}
if( _m != imagePoints )
cvConvert( _m, imagePoints );
if( _dpdr != dpdr )
cvConvert( _dpdr, dpdr );
if( _dpdt != dpdt )
cvConvert( _dpdt, dpdt );
if( _dpdf != dpdf )
cvConvert( _dpdf, dpdf );
if( _dpdc != dpdc )
cvConvert( _dpdc, dpdc );
if( _dpdk != dpdk )
cvConvert( _dpdk, dpdk );
if( _dpdo != dpdo )
cvConvert( _dpdo, dpdo );
}
static void _cvProjectPoints2( const CvMat* objectPoints,
const CvMat* r_vec,
const CvMat* t_vec,
const CvMat* A,
const CvMat* distCoeffs,
CvMat* imagePoints, CvMat* dpdr,
CvMat* dpdt, CvMat* dpdf,
CvMat* dpdc, CvMat* dpdk,
double aspectRatio )
{
_cvProjectPoints2Internal( objectPoints, r_vec, t_vec, A, distCoeffs, imagePoints, dpdr, dpdt,
dpdf, dpdc, dpdk, NULL, aspectRatio );
}
Reference in New Issue View Git Blame Copy Permalink