Скачать или смотреть Computer Vision & Image Processing Project : Calibration and Augmented Reality | Generate 3D objects

In this project our task is to develop a program that can calibrate a camera and use the calibration data to generate virtual objects in a scene. The camera calibration involves accurately determining the internal parameters of the camera, such as focal length and distortion coefficients, by capturing images of a known pattern, For our project we will use checkerboard image for calibration. Once the camera is calibrated, the program should be able to detect the target (checkerboard) in real-time using the camera feed.

Using the calibrated camera, the program should then be able to place virtual objects in the scene relative to the detected target. These virtual objects should align and orient themselves correctly with respect to the target, taking into account any motion of the camera or the target itself.

OpenCV Documentation :
1. Camera calibration With OpenCV : - https://docs.opencv.org/4.x/d4/d94/tutoria...
2. findChessboardCorners() : - https://docs.opencv.org/3.4/d9/d0c/group__...
3. drawChessboardCorners() : - https://docs.opencv.org/3.4/d9/d0c/group__...
4. cornerSubPix() : - https://docs.opencv.org/4.x/dd/d1a/group__...
5. calibrateCamera() : - https://docs.opencv.org/3.4/d9/d0c/group__...
6. solvePnP() : - https://docs.opencv.org/3.4/d9/d0c/group__...
7. projectPoints() : - https://docs.opencv.org/3.4/d9/d0c/group__...


Get the entire project from my Github : https://github.com/RobuRishabh/Calibration...

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