introduce
Camera calibration is a fundamental task in computer vision and is crucial in various applications such as 3D reconstruction, object tracking, augmented reality, and image analysis. Accurate calibration ensures accurate measurements and reliable analysis by correcting for distortion and estimating intrinsic and extrinsic parameters of the camera. This comprehensive guide provides an in-depth look at the principles, techniques, and algorithms of camera calibration. We explore obtaining intrinsic and extrinsic parameters of the camera, understanding distortion models, performing calibration patterns, and utilizing calibration software. Whether you are a beginner or an experienced computer vision practitioner, this guide will provide you with the knowledge and skills to perform accurate camera calibration and unlock the full potential of your vision-based applications.
What is camera calibration?
A camera is a device that converts the 3D world into a 2D image. Cameras play a very important role in capturing 3D images and storing them as 2D images. Understanding the math behind it is very fascinating. The following equation can represent the camera.
x=PX
here x