Description: This toolbox provides some tools for faces detection using Local Binary Patterns and Haar features.
The task of detection is done by boosting approaches such Adaboosting, FastAdaboosting and Gentleboosting.
The main objective of this toolbox is to deliver simple but efficient tools mainly written in C codes with
a matlab interface and easy to modify.
- [PFC] - Eigenface using MATLAB Face Recognition
- [CRL-2001-1] - human face detection of the time when us
- [adaboost] - Ababoost algorithm based on face detecti
- [PCA-Face-Recognition] - Using matlab realize the PCA algorithm i
- [facedetect] - Fast powerful face detection procedures,
- [prtools] - The Matlab Toolbox for Pattern Recogniti
- [gentleboost] - Gentleboost, which is a fusion-based mac
- [matlab] - this file is haar transform
- [Harr] - Haar-Like Feature facial recognition pro
- [facedet] - A face detector based on VJ algorithm (B
File list (Check if you may need any files):
fdtool
......\0000_-12_0_0_15_0_1.pgm
......\2.bmp
......\Haar_matG.m
......\basicroc.m
......\build_negatives.m
......\chlbp.c
......\chlbp.mexw32
......\chlbp_adaboost_binary_model_cascade.c
......\chlbp_adaboost_binary_model_cascade.mexw32
......\chlbp_adaboost_binary_predict_cascade.c
......\chlbp_adaboost_binary_predict_cascade.mexw32
......\chlbp_gentleboost_binary_model_cascade.c
......\chlbp_gentleboost_binary_model_cascade.mexw32
......\chlbp_gentleboost_binary_predict_cascade.c
......\chlbp_gentleboost_binary_predict_cascade.mexw32
......\class57.jpg
......\d2uint8_image.m
......\demo_chlbp.m
......\demo_detector_haar.m
......\demo_haar.m
......\demo_mblbp.m
......\detection_haar_2P.jpg
......\detector_haar.c
......\detector_haar.mexw32
......\detector_mblbp.c
......\detector_mblbp.mexw32
......\display_database.m
......\eval_chlbp.c
......\eval_chlbp.mexw32
......\eval_haar.c
......\eval_haar.mexw32
......\eval_haar_subwindow.c
......\eval_haar_subwindow.mexw32
......\eval_mblbp.c
......\eval_mblbp.mexw32
......\fast_haar_ada_weaklearner.c
......\fast_haar_ada_weaklearner.mexw32
......\fast_haar_adaboost_binary_model_cascade.c
......\fast_haar_adaboost_binary_model_cascade.mexw32
......\generate_data.m
......\getmapping.m
......\gui
......\...\coeff_edit_data_callback1.m
......\...\coeff_edit_data_callback10.m
......\...\coeff_edit_data_callback11.m
......\...\coeff_edit_data_callback12.m
......\...\coeff_edit_data_callback13.m
......\...\coeff_edit_data_callback14.m
......\...\coeff_edit_data_callback15.m
......\...\coeff_edit_data_callback16.m
......\...\coeff_edit_data_callback17.m
......\...\coeff_edit_data_callback18.m
......\...\coeff_edit_data_callback19.m
......\...\coeff_edit_data_callback2.m
......\...\coeff_edit_data_callback20.m
......\...\coeff_edit_data_callback21.m
......\...\coeff_edit_data_callback22.m
......\...\coeff_edit_data_callback23.m
......\...\coeff_edit_data_callback24.m
......\...\coeff_edit_data_callback25.m
......\...\coeff_edit_data_callback3.m
......\...\coeff_edit_data_callback4.m
......\...\coeff_edit_data_callback5.m
......\...\coeff_edit_data_callback6.m
......\...\coeff_edit_data_callback7.m
......\...\coeff_edit_data_callback8.m
......\...\coeff_edit_data_callback9.m
......\...\coeff_push_callback1.m
......\...\config_gui.m
......\...\database_edit_callback1.m
......\...\database_edit_callback2.m
......\...\display_selected_pattern.m
......\...\features_list_callback1.m
......\...\features_push_add_callback1.m
......\...\features_push_remove_callback1.m
......\...\gui_features_dictionary.m
......\...\gui_menu_open_data_callback.m
......\...\gui_menu_save_data_callback.m
......\...\gui_number_of_features.m
......\...\nbfeat_haar.m
......\haar.c
......\haar.mexw32
......\haar_ada_weaklearner.c
......\haar_ada_weaklearner.mexw32
......\haar_adaboost_binary_model_cascade.c
......\haar_adaboost_binary_model_cascade.mexw32
......\haar_adaboost_binary_predict_cascade.c
......\haar_adaboost_binary_predict_cascade.mexw32
......\haar_dico_19.mat
......\haar_dico_2.mat
......\haar_dico_4.mat
......\haar_dico_5.mat
......\haar_featlist.c
......\haar_featlist.mexw32
......\haar_gentle_weaklearner.c
......\haar_gentle_weaklearner.mexw32
......\haar_gentleboost_binary_model_cascade.c
......\haar_gentleboost_binary_model_cascade.mexw32
......\haar_gentleboost_binary_predict_cascade.c
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