我正在尝试使用OpenCV 4.1.1和Aruco构建一个简单的增强现实应用程序。目的是将图像叠加在标记的顶部,但使图像超出标记的边缘。
我已经校准了相机,并获得了相机矩阵和失真系数。通过使用OpenCV的warpPerspective,我可以在标记的顶部绘制图像,但只能将其绑定到标记的角,以使其停留在标记的边界内。
std::vector<int> ids;
std::vector<std::vector<Point2f>> corners;
// detect markers
aruco::detectMarkers(image, dictionary, corners, ids);
if (ids.size() > 0) {
// file with image to draw
auto file = "square.png";
// image to draw on the marker
Mat im_src = imread(file);
if (im_src.data == NULL) {
std::cout << file << ": File not found\n" << std::endl;
continue;
}
// flip(im_src, im_src, 1);
// points of corners of the image
std::vector<Point2f> pts_src;
pts_src.push_back(Point2f(0, 0));
pts_src.push_back(Point2f(im_src.cols-1, 0));
pts_src.push_back(Point2f(im_src.cols-1, im_src.rows-1));
pts_src.push_back(Point2f(0, im_src.rows-1));
// use aruco marker
for (int i = 0; i < ids.size(); i++) {
if (ids[i] == 69) {
aruco::drawDetectedMarkers(imageCopy, corners, ids);
std::vector<Point> pts_dst;
pts_dst.push_back(corners[i][0]);
pts_dst.push_back(corners[i][1]);
pts_dst.push_back(corners[i][2]);
pts_dst.push_back(corners[i][3]);
Mat h = findHomography(pts_src, pts_dst);
Mat im_out;
warpPerspective(im_src, im_out, h, imageCopy.size());
fillConvexPoly(imageCopy, pts_dst, 0, 16);
imageCopy = imageCopy + im_out;
}
}
这是我所拥有和我想要的图像。我想我需要使用3d点来绘制图像,但是我不确定该怎么做。任何帮助将不胜感激。
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答案 0 :(得分:0)
正如您在评论中所说,如果标记长度可用,例如l0
,则可以将所需正方形的长度定义为l = l0 * 1.05
或类似的值。
for (int i = 0; i < ids.size(); i++) {
if (ids[i] == 69) {
aruco::drawDetectedMarkers(imageCopy, corners, ids);
// Estimate the pose of the marker
std::vector<cv::Vec3d> rvecs, tvecs;
cv::aruco::estimatePoseSingleMarkers(
corners, l0, camera_matrix, dist_coeffs,
rvecs, tvecs
);
drawSquare(
image_copy, camera_matrix, dist_coeffs, rvecs[i], tvecs[i],
l0
);
}
}
void drawSquare(
cv::InputOutputArray image, cv::InputArray cameraMatrix,
cv::InputArray distCoeffs, cv::InputArray rvec, cv::InputArray tvec,
float l0
)
{
float l = l0 * 1.05; // new square is 5% larger than the aruco marker
float half_l = l / 2.0;
// Define the square on the camera frame (this is 3D since the camera
// frame is 3D).
std::vector<cv::Point3f> squarePoints;
squarePoints.push_back(cv::Point3f(half_l, half_l, 0));
squarePoints.push_back(cv::Point3f(half_l, -half_l, 0));
squarePoints.push_back(cv::Point3f(-half_l, -half_l, 0));
squarePoints.push_back(cv::Point3f(-half_l, half_l, 0));
// Project the square to the image.
std::vector<cv::Point2f> imagePoints;
projectPoints(
squarePoints, rvec, tvec, cameraMatrix, distCoeffs, imagePoints
);
// Draw the square on the image.
cv::line(image, imagePoints[0], imagePoints[1], cv::Scalar(255, 0, 0), 3);
cv::line(image, imagePoints[1], imagePoints[2], cv::Scalar(255, 0, 0), 3);
cv::line(image, imagePoints[2], imagePoints[3], cv::Scalar(255, 0, 0), 3);
cv::line(image, imagePoints[3], imagePoints[0], cv::Scalar(255, 0, 0), 3);
}
我没有对此进行测试,但是我为不同的项目使用了类似的代码。如果您遇到任何问题,请告诉我。我将更新上面的代码。