DetectChessboardGrid

Detects a chessboard on the image, and returns the points where 4 chessboard squares meet.

Name	Type	Range	Description
inImage	Image		Input image
inChessboardWidth	Integer	4 -	Number of ranks (columns) of the chessboard
inChessboardHeight	Integer	4 -	Number of files (rows) of the chessboard
inGridOrigin	Point3D		Real-world coordinates of top-left grid point
inSquareDimension	Real	0.0 -	Real-world length of a single chessboard square (mm)
inAdaptiveThresholding	Bool		Use adaptive thresholding instead of a global threshold of average
inImageNormalization	Bool		Normalize input image using histogram equalization prior to detection
inAdditionalFiltering	Bool		Use more criteria for eliminating false chessboards
inPresenceCheck	Bool		Perform a fast approximate test of chessboard presence before locating it
inSubpixelRefinement	Bool		If corners are found, post-process them to improve precision
outImageGridPoints	Point2D Array ?
outWorldGridPoints	Point3D Array ?		Corresponding 3D (World) points, generated from grid origin and square dimension

Preparation of data required for creating image undistortion map.

Description of usage of this filter can be found in examples and tutorial: Calibration with Chessboard (Advanced).

DetectChessboardGrid executed with inChessboardWidth = 10, inChessboardHeight = 7.

This filter can throw an exception to report error. Read how to deal with errors here: Error Handling

Error type	Description
DomainError	Empty inImage in DetectChessboardGrid.
DomainError	Error in DetectChessboardGrid:Error message
DomainError	Error in DetectChessboardGrid: Error message

This filter is available on Basic Complexity Level.