Detection markers in images

1. How does marker detection work?
2. What is a marker image?
3. What are the use of markers image processing?
4. What are ArUco markers used for?

How does marker detection work?

It binarizes the image and computes contours using OpenCV, then checks to see if any of the contours are convex rectangles. From there, it computes the correlation coefficient between the normalized patch of the video frame and a clean marker image, and uses this as a similarity measure.

What is a marker image?

A marker identifies a location on a map. By default, a marker uses a standard image. Markers can display custom images, in which case they are usually referred to as "icons." Markers and icons are objects of type Marker .

What are the use of markers image processing?

A Marker provides you with a way to identify or label a spot within the processing pipeline. Adding a marker into the pipeline will allow you to refer to the image currently being processed at that point. It can also be used to specify a location in the pipeline for other modules.

What are ArUco markers used for?

ArUco markers are binary square fiducial markers that can be used for camera pose estimation. Their main benefit is that their detection is robust, fast and simple. The aruco module includes the detection of these types of markers and the tools to employ them for pose estimation and camera calibration.