Easy to use and accurate hand eye calibration which has been working reliably for years (2016-present) with kinect, kinectv2, rgbd cameras, optical trackers, and several robots including the ur5 and kuka iiwa.
BSD 2-Clause "Simplified" License
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How to compute CamtoTag pose , I have get 3D feature Point( chessboard ) #41
In my project, the 3D camera is on the top floor , and i use this handeye_calib_camodocal project to finish my handeye calibration。But the error is large, and result is clearly an error,so i doubt the CamtoTag is wrong . I have get 3D Checkerboard corner points(x,y,z) ,and here is the codes i used to compute CamtoTag :
In my project, the 3D camera is on the top floor , and i use this handeye_calib_camodocal project to finish my handeye calibration。But the error is large, and result is clearly an error,so i doubt the CamtoTag is wrong . I have get 3D Checkerboard corner points(x,y,z) ,and here is the codes i used to compute CamtoTag :
Eigen::Matrix4f getPlanePose(pcl::PointCloud::Ptr board_corner_cloud)
{
pcl::SACSegmentation seg;
seg.setOptimizeCoefficients(true);
seg.setModelType(pcl::SACMODEL_PLANE);
seg.setMethodType(pcl::SAC_RANSAC);
seg.setDistanceThreshold(0.1);
}