The main functionality of ArucoDetector class is detection of markers in an image with detectMarkers() method.
Board of ArUco markers
A board is a set of markers in the 3D space with a common coordinate system.
Cascade classifier class for object detection.
ChArUco board is a planar chessboard where the markers are placed inside the white squares of a chessboard.
struct DetectorParameters is used by ArucoDetector
Dictionary/Set of markers, it contains the inner codification
BytesList contains the marker codewords where:
- bytesList.rows is the dictionary size
- each marker is encoded using
nbytes = ceil(markerSize*markerSize/8.)
- each row contains all 4 rotations of the marker, so its length is
bytesList.ptr(i)[k*nbytes + j] is then the j-th byte of i-th marker, in its k-th rotation.
DNN-based face detector
model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_detection_yunet
DNN-based face recognizer
model download link: https://github.com/opencv/opencv_zoo/tree/master/models/face_recognition_sface
Planar board with grid arrangement of markers
More common type of board.
Implementation of HOG (Histogram of Oriented Gradients) descriptor and object detector.
Groups the object candidate rectangles.
QR code encoder parameters.
struct RefineParameters is used by ArucoDetector