CalibCbType Fields

Up sample input image to improve sub-pixel accuracy due to aliasing effects. This should be used if an accurate camera calibration is required.

Use adaptive thresholding to convert the image to black-n-white, rather than a fixed threshold level (computed from the average image brightness)

Default type

Run an exhaustive search to improve detection rate.

If it is on, then this check is performed before the main algorithm and if a chessboard is not found, the function returns 0 instead of wasting 0.3-1s on doing the full search.

Use additional criteria (like contour area, perimeter, square-like shape) to filter out false quads that are extracted at the contour retrieval stage

Normalize the image using cvNormalizeHist before applying fixed or adaptive thresholding.