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.

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

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．