Package org.bytedeco.opencv.opencv_face

Class Summary

Class	Description
BasicFaceRecognizer	\addtogroup face \{
CParams
EigenFaceRecognizer
Facemark	\addtogroup face \{ /** \brief Abstract base class for all facemark models To utilize this API in your program, please take a look at the \ref tutorial_table_of_content_facemark ### Description Facemark is a base class which provides universal access to any specific facemark algorithm.
FacemarkAAM	\addtogroup face \{
FacemarkAAM.Config	\brief Optional parameter for fitting process.
FacemarkAAM.Data	\brief Data container for the facemark::getData function
FacemarkAAM.Model	\brief The model of AAM Algorithm
FacemarkAAM.Model.Texture
FacemarkAAM.Params
FacemarkKazemi
FacemarkKazemi.Params
FacemarkLBF	\addtogroup face \{
FacemarkLBF.BBox
FacemarkLBF.Params
FacemarkTrain	\brief Abstract base class for trainable facemark models To utilize this API in your program, please take a look at the \ref tutorial_table_of_content_facemark ### Description The AAM and LBF facemark models in OpenCV are derived from the abstract base class FacemarkTrain, which provides a unified access to those facemark algorithms in OpenCV.
FaceRecognizer	\addtogroup face \{ /** \brief Abstract base class for all face recognition models All face recognition models in OpenCV are derived from the abstract base class FaceRecognizer, which provides a unified access to all face recongition algorithms in OpenCV.
FisherFaceRecognizer
LBPHFaceRecognizer
PredictCollector	\addtogroup face \{ /** \brief Abstract base class for all strategies of prediction result handling
StandardCollector	\brief Default predict collector Trace minimal distance with treshhold checking (that is default behavior for most predict logic)
StandardCollector.PredictResult