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// Example 19-3. Stereo calibration, rectification, and correspondence | ||
#pragma warning(disable : 4996) | ||
#include <opencv2/opencv.hpp> | ||
#include <iostream> | ||
#include <string.h> | ||
#include <stdlib.h> | ||
#include <stdio.h> | ||
#include <math.h> | ||
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using namespace std; | ||
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void help(char *argv[]) { | ||
cout | ||
<< "\n\nExample 19-3. Stereo calibration, rectification, and " | ||
"correspondence" | ||
<< "\n Reads in list of locations of a sequence of checkerboard " | ||
"calibration" | ||
<< "\n objects from a left,right stereo camera pair. Calibrates, " | ||
"rectifies and then" | ||
<< "\n does stereo correspondence." | ||
<< "\n" | ||
<< "\n This program will run on default parameters assuming you " | ||
"created a build directory" | ||
<< "\n directly below the Learning-OpenCV-3 directory and are " | ||
"running programs there. NOTE: the list_of_stereo_pairs> must" | ||
<< "\n give the full path name to the left right images, in " | ||
"alternating" | ||
<< "\n lines: left image, right image, one path/filename per line, see" | ||
<< "\n stereoData/example_19-03_list.txt file, you can comment out " | ||
"lines" | ||
<< "\n there by starting them with #." | ||
<< "\n" | ||
<< "\nDefault Call (with parameters: board_w = 9, board_h = 6, list = " | ||
"../stereoData_19-03_list.txt):" | ||
<< "\n" << argv[0] << "\n" | ||
<< "\nManual call:" | ||
<< "\n" << argv[0] << " [<board_w> <board_h> <path/list_of_stereo_pairs>]" | ||
<< "\n\n PRESS ANY KEY TO STEP THROUGH RESULTS AT EACH STAGE." | ||
<< "\n" << endl; | ||
} | ||
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static void StereoCalib(const char *imageList, int nx, int ny, | ||
bool useUncalibrated) { | ||
bool displayCorners = true; | ||
bool showUndistorted = true; | ||
bool isVerticalStereo = false; // horiz or vert cams | ||
const int maxScale = 1; | ||
const float squareSize = 1.f; | ||
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// actual square size | ||
FILE *f = fopen(imageList, "rt"); | ||
int i, j, lr; | ||
int N = nx * ny; | ||
cv::Size board_sz = cv::Size(nx, ny); | ||
vector<string> imageNames[2]; | ||
vector<cv::Point3f> boardModel; | ||
vector<vector<cv::Point3f> > objectPoints; | ||
vector<vector<cv::Point2f> > points[2]; | ||
vector<cv::Point2f> corners[2]; | ||
bool found[2] = {false, false}; | ||
cv::Size imageSize; | ||
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// READ IN THE LIST OF CIRCLE GRIDS: | ||
// | ||
if (!f) { | ||
cout << "Cannot open file " << imageList << endl; | ||
return; | ||
} | ||
for (i = 0; i < ny; i++) | ||
for (j = 0; j < nx; j++) | ||
boardModel.push_back( | ||
cv::Point3f((float)(i * squareSize), (float)(j * squareSize), 0.f)); | ||
i = 0; | ||
for (;;) { | ||
char buf[1024]; | ||
lr = i % 2; | ||
if (lr == 0) | ||
found[0] = found[1] = false; | ||
if (!fgets(buf, sizeof(buf) - 3, f)) | ||
break; | ||
size_t len = strlen(buf); | ||
while (len > 0 && isspace(buf[len - 1])) | ||
buf[--len] = '\0'; | ||
if (buf[0] == '#') | ||
continue; | ||
cv::Mat img = cv::imread(buf, 0); | ||
if (img.empty()) | ||
break; | ||
imageSize = img.size(); | ||
imageNames[lr].push_back(buf); | ||
i++; | ||
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// If we did not find board on the left image, | ||
// it does not make sense to find it on the right. | ||
// | ||
if (lr == 1 && !found[0]) | ||
continue; | ||
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// Find circle grids and centers therein: | ||
for (int s = 1; s <= maxScale; s++) { | ||
cv::Mat timg = img; | ||
if (s > 1) | ||
resize(img, timg, cv::Size(), s, s, cv::INTER_CUBIC); | ||
// Just as example, this would be the call if you had circle calibration | ||
// boards ... | ||
// found[lr] = cv::findCirclesGrid(timg, cv::Size(nx, ny), | ||
// corners[lr], | ||
// cv::CALIB_CB_ASYMMETRIC_GRID | | ||
// cv::CALIB_CB_CLUSTERING); | ||
//...but we have chessboards in our images | ||
found[lr] = cv::findChessboardCorners(timg, board_sz, corners[lr]); | ||
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if (found[lr] || s == maxScale) { | ||
cv::Mat mcorners(corners[lr]); | ||
mcorners *= (1. / s); | ||
} | ||
if (found[lr]) | ||
break; | ||
} | ||
if (displayCorners) { | ||
cout << buf << endl; | ||
cv::Mat cimg; | ||
cv::cvtColor(img, cimg, cv::COLOR_GRAY2BGR); | ||
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// draw chessboard corners works for circle grids too | ||
cv::drawChessboardCorners(cimg, cv::Size(nx, ny), corners[lr], found[lr]); | ||
cv::imshow("Corners", cimg); | ||
if ((cv::waitKey(0) & 255) == 27) // Allow ESC to quit | ||
exit(-1); | ||
} else | ||
cout << '.'; | ||
if (lr == 1 && found[0] && found[1]) { | ||
objectPoints.push_back(boardModel); | ||
points[0].push_back(corners[0]); | ||
points[1].push_back(corners[1]); | ||
} | ||
} | ||
fclose(f); | ||
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// CALIBRATE THE STEREO CAMERAS | ||
cv::Mat M1 = cv::Mat::eye(3, 3, CV_64F); | ||
cv::Mat M2 = cv::Mat::eye(3, 3, CV_64F); | ||
cv::Mat D1, D2, R, T, E, F; | ||
cout << "\nRunning stereo calibration ...\n"; | ||
cv::stereoCalibrate( | ||
objectPoints, points[0], points[1], M1, D1, M2, D2, imageSize, R, T, E, F, | ||
cv::CALIB_FIX_ASPECT_RATIO | cv::CALIB_ZERO_TANGENT_DIST | | ||
cv::CALIB_SAME_FOCAL_LENGTH, | ||
cv::TermCriteria(cv::TermCriteria::COUNT | cv::TermCriteria::EPS, 100, | ||
1e-5)); | ||
cout << "Done! Press any key to step through images, ESC to exit\n\n"; | ||
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// CALIBRATION QUALITY CHECK | ||
// because the output fundamental matrix implicitly | ||
// includes all the output information, | ||
// we can check the quality of calibration using the | ||
// epipolar geometry constraint: m2^t*F*m1=0 | ||
vector<cv::Point3f> lines[2]; | ||
double avgErr = 0; | ||
int nframes = (int)objectPoints.size(); | ||
for (i = 0; i < nframes; i++) { | ||
vector<cv::Point2f> &pt0 = points[0][i]; | ||
vector<cv::Point2f> &pt1 = points[1][i]; | ||
cv::undistortPoints(pt0, pt0, M1, D1, cv::Mat(), M1); | ||
cv::undistortPoints(pt1, pt1, M2, D2, cv::Mat(), M2); | ||
cv::computeCorrespondEpilines(pt0, 1, F, lines[0]); | ||
cv::computeCorrespondEpilines(pt1, 2, F, lines[1]); | ||
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for (j = 0; j < N; j++) { | ||
double err = fabs(pt0[j].x * lines[1][j].x + pt0[j].y * lines[1][j].y + | ||
lines[1][j].z) + | ||
fabs(pt1[j].x * lines[0][j].x + pt1[j].y * lines[0][j].y + | ||
lines[0][j].z); | ||
avgErr += err; | ||
} | ||
} | ||
cout << "avg err = " << avgErr / (nframes * N) << endl; | ||
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// COMPUTE AND DISPLAY RECTIFICATION | ||
// | ||
if (showUndistorted) { | ||
cv::Mat R1, R2, P1, P2, map11, map12, map21, map22; | ||
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// IF BY CALIBRATED (BOUGUET'S METHOD) | ||
// | ||
if (!useUncalibrated) { | ||
stereoRectify(M1, D1, M2, D2, imageSize, R, T, R1, R2, P1, P2, | ||
cv::noArray(), 0); | ||
isVerticalStereo = fabs(P2.at<double>(1, 3)) > fabs(P2.at<double>(0, 3)); | ||
// Precompute maps for cvRemap() | ||
initUndistortRectifyMap(M1, D1, R1, P1, imageSize, CV_16SC2, map11, | ||
map12); | ||
initUndistortRectifyMap(M2, D2, R2, P2, imageSize, CV_16SC2, map21, | ||
map22); | ||
} | ||
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// OR ELSE HARTLEY'S METHOD | ||
// | ||
else { | ||
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// use intrinsic parameters of each camera, but | ||
// compute the rectification transformation directly | ||
// from the fundamental matrix | ||
vector<cv::Point2f> allpoints[2]; | ||
for (i = 0; i < nframes; i++) { | ||
copy(points[0][i].begin(), points[0][i].end(), | ||
back_inserter(allpoints[0])); | ||
copy(points[1][i].begin(), points[1][i].end(), | ||
back_inserter(allpoints[1])); | ||
} | ||
cv::Mat F = findFundamentalMat(allpoints[0], allpoints[1], cv::FM_8POINT); | ||
cv::Mat H1, H2; | ||
cv::stereoRectifyUncalibrated(allpoints[0], allpoints[1], F, imageSize, | ||
H1, H2, 3); | ||
R1 = M1.inv() * H1 * M1; | ||
R2 = M2.inv() * H2 * M2; | ||
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// Precompute map for cvRemap() | ||
// | ||
cv::initUndistortRectifyMap(M1, D1, R1, P1, imageSize, CV_16SC2, map11, | ||
map12); | ||
cv::initUndistortRectifyMap(M2, D2, R2, P2, imageSize, CV_16SC2, map21, | ||
map22); | ||
} | ||
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// RECTIFY THE IMAGES AND FIND DISPARITY MAPS | ||
// | ||
cv::Mat pair; | ||
if (!isVerticalStereo) | ||
pair.create(imageSize.height, imageSize.width * 2, CV_8UC3); | ||
else | ||
pair.create(imageSize.height * 2, imageSize.width, CV_8UC3); | ||
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// Setup for finding stereo corrrespondences | ||
// | ||
cv::Ptr<cv::StereoSGBM> stereo = cv::StereoSGBM::create( | ||
-64, 128, 11, 100, 1000, 32, 0, 15, 1000, 16, cv::StereoSGBM::MODE_HH); | ||
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for (i = 0; i < nframes; i++) { | ||
cv::Mat img1 = cv::imread(imageNames[0][i].c_str(), 0); | ||
cv::Mat img2 = cv::imread(imageNames[1][i].c_str(), 0); | ||
cv::Mat img1r, img2r, disp, vdisp; | ||
if (img1.empty() || img2.empty()) | ||
continue; | ||
cv::remap(img1, img1r, map11, map12, cv::INTER_LINEAR); | ||
cv::remap(img2, img2r, map21, map22, cv::INTER_LINEAR); | ||
if (!isVerticalStereo || !useUncalibrated) { | ||
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// When the stereo camera is oriented vertically, | ||
// Hartley method does not transpose the | ||
// image, so the epipolar lines in the rectified | ||
// images are vertical. Stereo correspondence | ||
// function does not support such a case. | ||
stereo->compute(img1r, img2r, disp); | ||
cv::normalize(disp, vdisp, 0, 256, cv::NORM_MINMAX, CV_8U); | ||
cv::imshow("disparity", vdisp); | ||
} | ||
if (!isVerticalStereo) { | ||
cv::Mat part = pair.colRange(0, imageSize.width); | ||
cvtColor(img1r, part, cv::COLOR_GRAY2BGR); | ||
part = pair.colRange(imageSize.width, imageSize.width * 2); | ||
cvtColor(img2r, part, cv::COLOR_GRAY2BGR); | ||
for (j = 0; j < imageSize.height; j += 16) | ||
cv::line(pair, cv::Point(0, j), cv::Point(imageSize.width * 2, j), | ||
cv::Scalar(0, 255, 0)); | ||
} else { | ||
cv::Mat part = pair.rowRange(0, imageSize.height); | ||
cv::cvtColor(img1r, part, cv::COLOR_GRAY2BGR); | ||
part = pair.rowRange(imageSize.height, imageSize.height * 2); | ||
cv::cvtColor(img2r, part, cv::COLOR_GRAY2BGR); | ||
for (j = 0; j < imageSize.width; j += 16) | ||
line(pair, cv::Point(j, 0), cv::Point(j, imageSize.height * 2), | ||
cv::Scalar(0, 255, 0)); | ||
} | ||
cv::imshow("rectified", pair); | ||
if ((cv::waitKey() & 255) == 27) | ||
break; | ||
} | ||
} | ||
} | ||
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// | ||
//Default Call (with parameters: board_w = 9, board_h = 6, list = | ||
// ../stereoData_19-03_list.txt): | ||
//./example_19-03 | ||
// | ||
//Manual call: | ||
//./example_19-03 [<board_w> <board_h> <path/list_of_stereo_pairs>] | ||
// | ||
// Press any key to step through results, ESC to exit | ||
// | ||
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int main(int argc, char **argv) { | ||
help(argv); | ||
int board_w = 9, board_h = 6; | ||
const char *board_list = "../stereoData/example_19-03_list.txt"; | ||
if (argc == 4) { | ||
board_list = argv[1]; | ||
board_w = atoi(argv[2]); | ||
board_h = atoi(argv[3]); | ||
} | ||
StereoCalib(board_list, board_w, board_h, true); | ||
return 0; | ||
} |
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../stereoData/left01.jpg | ||
../stereoData/right01.jpg | ||
../stereoData/left02.jpg | ||
../stereoData/right02.jpg | ||
../stereoData/left03.jpg | ||
../stereoData/right03.jpg | ||
../stereoData/left04.jpg | ||
../stereoData/right04.jpg | ||
../stereoData/left05.jpg | ||
../stereoData/right05.jpg | ||
../stereoData/left06.jpg | ||
../stereoData/right06.jpg | ||
../stereoData/left07.jpg | ||
../stereoData/right07.jpg | ||
../stereoData/left08.jpg | ||
../stereoData/right08.jpg | ||
../stereoData/left09.jpg | ||
../stereoData/right09.jpg | ||
#../stereoData/left10.jpg | ||
#../stereoData/right10.jpg | ||
../stereoData/left11.jpg | ||
../stereoData/right11.jpg | ||
../stereoData/left12.jpg | ||
../stereoData/right12.jpg | ||
../stereoData/left13.jpg | ||
../stereoData/right13.jpg | ||
../stereoData/left14.jpg | ||
../stereoData/right14.jpg |