Pinhole calibration

1. What is calibration in image processing?
2. What is pinhole perspective?
3. What is the purpose of camera calibration?
4. What is the camera calibration problem?

What is calibration in image processing?

Image calibration provides a pixel-to-real-distance conversion factor (i.e. the calibration factor, pixels/cm), that allows image scaling to metric units. This information can be then used throughout the analysis to convert pixel measurements performed on the image to their corresponding values in the real world.

What is pinhole perspective?

The pinhole camera model describes the mathematical relationship between the coordinates of a point in three-dimensional space and its projection onto the image plane of an ideal pinhole camera, where the camera aperture is described as a point and no lenses are used to focus light.

What is the purpose of camera calibration?

The camera calibration aims to determine the geometric parameters of the image formation process [1]. This is a crucial step in many computer vision applications especially when metric information about the scene is required.

What is the camera calibration problem?

It consists in determining the intrinsic and extrinsic parameters of a camera. Other camera calibration problems include: Stereo calibration. A stereo (or stereovision) system consists of multiple cameras. Stereo calibration determines the relative geometry (rotation and translation) between cameras.