In this tutorial, we demonstrate how to use OpenCV’s projectPoints() function in C++ to project 3D object points onto the 2D image plane after camera calibration, illustrating how real-world coordinates are transformed into image coordinates using the camera matrix, distortion coefficients, and estimated pose (rotation and translation).
🌠projectPoints: https://docs.opencv.org/4.8.0/d9/d0c/group__calib3d.html#ga1019495a2c8d1743ed5cc23fa0daff8c
🌠 Tutorial Series Plan: https://docs.opencv.org/4.8.0/modules.html
🌠 Stackoverflow: https://stackoverflow.com/users/11048887/yunus-temurlenk?tab=profile
🌠 Github: https://github.com/yunus-temurlenk?tab=repositories
🌠 Twitter: https://twitter.com/code_enjoy
🌠 Hashnode: https://yunustemurlenk.hashnode.dev/
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
0:00 - Introduction
1:15 - Coding
If you see any mistake or have advice, please comment. Thanks for watching…
#OpenCV #Cplusplus #CameraCalibration #projectPoints #ComputerVision
