Created
April 14, 2018 23:14
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#include <opencv2/core/core.hpp> | |
#include <opencv2/highgui/highgui.hpp> | |
#include <opencv2/features2d/features2d.hpp> | |
#include <opencv2/video/tracking.hpp> | |
//#include <opencv2/calib3d/calib3d.hpp> | |
//#include <opencv2/imgproc/imgproc.hpp> | |
#include <ros/ros.h> | |
#include "image_transport/image_transport.h" | |
#include "cv_bridge/cv_bridge.h" | |
#include <sensor_msgs/Image.h> | |
#include "undistorter.h" | |
#include <boost/bind.hpp> | |
using namespace cv; | |
Mat img1, img2; | |
std::vector<Point2f> points1; | |
std::vector<Point2f> points2; | |
void featureTracking(Mat _img1, Mat _img2, std::vector<Point2f>& _points1, std::vector<Point2f>& _points2, std::vector<uchar>& status) | |
{ | |
std::vector<float> err; | |
Size winSize(21,21); | |
TermCriteria termcrit(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01); | |
calcOpticalFlowPyrLK(_img1, _img2, _points1, _points2, status, err, winSize, 3, termcrit, 0, 0.001); | |
int iCorr = 0; | |
for(int i=0; i<status.size(); i++) | |
{ | |
Point2f pt = _points2.at(i-iCorr); | |
if((status.at(i) ==0) ||(pt.x<0)||(pt.y<0)) | |
{ | |
if((pt.x<0)||(pt.y<0)) | |
{ | |
status.at(i) = 0; | |
} | |
_points1.erase(_points1.begin() + i-iCorr); | |
_points2.erase(_points2.begin() + i-iCorr); | |
iCorr++; | |
} | |
} | |
} | |
void fast_features(Mat img, std::vector<Point2f>& points) | |
{ | |
std::vector<KeyPoint> keypoints; | |
int threshold = 50; | |
bool nonmaxSuppression = true; | |
FAST(img, keypoints, threshold, nonmaxSuppression); | |
drawKeypoints(img, keypoints, img, Scalar(255,0,0)); | |
imshow("points", img); | |
waitKey(30); | |
KeyPoint::convert(keypoints, points, std::vector<int>()); | |
} | |
void image_callback(const sensor_msgs::ImageConstPtr& msg, const undistorter::PinholeUndistorter& undistorter) | |
{ | |
double focal_length = (352.7618998983656+362.2127413903864)/2; | |
Point2d pp(309.0169477654956, 231.17134547931778); | |
try | |
{ | |
img2 = img1; | |
points2 = points1; | |
cv_bridge::CvImagePtr img_ptr = cv_bridge::toCvCopy(msg, sensor_msgs::image_encodings::BGR8); | |
undistorter.undistortImage(img_ptr->image, img1); | |
// img1 = img_ptr->image; | |
imshow("view", img1); | |
waitKey(30); | |
fast_features(img1, points1); | |
std::vector<uchar> status; | |
if(!img1.empty() && !img2.empty()) | |
{ | |
featureTracking(img1, img2, points1, points2, status); | |
Mat mask, R, t; | |
Mat E = findEssentialMat(points2, points1, focal_length, pp, RANSAC, 0.999, 1.0, mask); | |
recoverPose(E, points2, points1, R, t, focal_length, pp, mask); | |
std::cout << R << std::endl << std::endl; | |
} | |
} | |
catch(cv_bridge::Exception& e) | |
{ | |
ROS_ERROR("could not convert from '%s' to 'bgr8'.", msg->encoding.c_str()); | |
} | |
} | |
int main(int argc, char** argv) | |
{ | |
Eigen::Vector2d fl(352.7618998983656, 362.2127413903864); | |
Eigen::Vector2d pp(309.0169477654956, 231.17134547931778); | |
Eigen::Vector2i res(640,480); | |
Eigen::Vector4d dist(-0.09188870979428575, 0.03877266717716036, -0.040007988295463065, 0.013430413696251163); | |
undistorter::PinholeGeometry camera(fl,pp,res, undistorter::EquidistantDistortion::create(dist)); | |
double alpha = 1.0, scale=1.0; | |
int interp = INTER_LINEAR; | |
104,1 69% | |
undistorter::PinholeUndistorter undistorter(camera, alpha, scale, interp); | |
ROS_INFO("initializing"); | |
ros::init(argc, argv, "image_listener"); | |
ROS_INFO("node init"); | |
ros::NodeHandle nh; | |
ROS_INFO("node handle made"); | |
namedWindow("view", CV_WINDOW_AUTOSIZE); | |
namedWindow("points", CV_WINDOW_AUTOSIZE); | |
ROS_INFO("window made"); | |
startWindowThread(); | |
ROS_INFO("window thread made"); | |
image_transport::ImageTransport it(nh); | |
ROS_INFO("image transport made"); | |
image_transport::Subscriber sub = it.subscribe("/cv_camera/image_raw", 1, boost::bind(image_callback, _1, undistorter)); | |
ROS_INFO("subscriber made"); | |
ros::spin(); | |
ROS_INFO("destroying window"); | |
destroyWindow("view"); | |
destroyWindow("points"); | |
return 0; | |
} |
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