Traits
The main functionality of ArucoDetector class is detection of markers in an image with detectMarkers() method.
Board of ArUco markers
@example samples/cpp/facedetect.cpp
This program demonstrates usage of the Cascade classifier class
\image html Cascade_Classifier_Tutorial_Result_Haar.jpg “Sample screenshot” width=321 height=254
ChArUco board is a planar chessboard where the markers are placed inside the white squares of a chessboard.
struct for detection region of interest (ROI)
struct DetectorParameters is used by ArucoDetector
Dictionary/Set of markers, it contains the inner codification
DNN-based face detector
DNN-based face recognizer
Planar board with grid arrangement of markers
Implementation of HOG (Histogram of Oriented Gradients) descriptor and object detector.
This class is used for grouping object candidates detected by Cascade Classifier, HOG etc.