[−][src]Module opencv::face
Face Analysis
- @ref tutorial_table_of_content_facemark
- The Facemark API
Structs
BasicFaceRecognizer | |
CParams | |
EigenFaceRecognizer | |
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_Params | |
FacemarkLBF | |
FacemarkLBF_BBox | |
FacemarkLBF_Params | |
FisherFaceRecognizer | |
StandardCollector | Default predict collector |
StandardCollector_PredictResult |
Traits
BIF | Implementation of bio-inspired features (BIF) from the paper: Guo, Guodong, et al. "Human age estimation using bio-inspired features." Computer Vision and Pattern Recognition, 2009. CVPR 2009. |
BasicFaceRecognizerTrait | |
FaceRecognizer | Abstract base class for all face recognition models |
Facemark | Abstract base class for all facemark models |
FacemarkAAM | |
FacemarkKazemi | |
FacemarkTrain | Abstract base class for trainable facemark models |
LBPHFaceRecognizer | |
MACE | Minimum Average Correlation Energy Filter useful for authentication with (cancellable) biometrical features. (does not need many positives to train (10-50), and no negatives at all, also robust to noise/salting) |
PredictCollector | Abstract base class for all strategies of prediction result handling |
Functions
create_facemark_aam | construct an AAM facemark detector |
create_facemark_kazemi | construct a Kazemi facemark detector |
create_facemark_lbf | construct an LBF facemark detector |
draw_facemarks | Utility to draw the detected facial landmark points |
get_faces | Default face detector This function is mainly utilized by the implementation of a Facemark Algorithm. End users are advised to use function Facemark::getFaces which can be manually defined and circumvented to the algorithm by Facemark::setFaceDetector. |
get_faces_haar | |
load_dataset_list | A utility to load list of paths to training image and annotation file. |
load_face_points | A utility to load facial landmark information from a given file. |
load_training_data | A utility to load facial landmark information from the dataset. |
load_training_data_1 | A utility to load facial landmark dataset from a single file. |
load_training_data_2 | This function extracts the data for training from .txt files which contains the corresponding image name and landmarks. *The first file in each file should give the path of the image whose *landmarks are being described in the file. Then in the subsequent *lines there should be coordinates of the landmarks in the image *i.e each line should be of the form x,y *where x represents the x coordinate of the landmark and y represents *the y coordinate of the landmark. |
Type Definitions
FN_FaceDetector |