文件名称:fdtool
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2013-12-15
- 文件大小：
- 17.39mb
- 下载次数：
- 0次
- 提 供 者：
- zhu***
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
利用局部二位模式和haar特征进行人脸或目标识别。-This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
fdtool_release
..............\chlbp2.c
..............\demo_haar.m
..............\detector_mlhmslbp_spyr.c
..............\haar_gentleboost_binary_predict_cascade_memory.c
..............\images
..............\......\train
..............\......\.....\positives
..............\......\.....\negatives
..............\......\.....\.........\books1.jpg
..............\......\.....\.........\400_F_2170797_UFzSLEkzNGm1UNOQ5hRKDayMNPwpQw.jpg
..............\......\.....\.........\book_sale.jpg
..............\......\.....\.........\book-akajou_01a.jpg
..............\......\.....\.........\50400598_Office_Desk.jpg
..............\......\.....\.........\3trees.jpg
..............\......\.....\.........\63859030-the-great-wall-of-china.jpg
..............\......\test
..............\......\....\positives
..............\......\....\negatives
..............\......\....\.........\table.jpg
..............\......\....\.........\affiche-film-wall-e-01.jpg
..............\......\....\.........\wall-e_3.jpg
..............\......\....\.........\horchow-contemporary-outdoor-furniture.jpg
..............\......\....\.........\city_road_shops.jpg
..............\......\....\.........\amsterdam-coffee-shops.jpg
..............\......\....\.........\outdoorsPlanitero.jpg
..............\......\....\.........\Office-Desk.jpg
..............\......\....\.........\Mossley%252520Hill%252520Corridor%2525201.jpg
..............\......\....\.........\product3.jpg
..............\......\....\.........\kitchen_fitting_sussex.jpg
..............\......\....\.........\shade-trees-2841.jpg
..............\......\....\.........\Rutgers.jpg
..............\......\....\.........\shops2.jpg
..............\......\....\.........\corridor-condo.jpg
..............\......\....\.........\how-to-choose-kitchen-appliances-4.jpg
..............\......\....\.........\5.jpg
..............\......\....\.........\TreeBook-Jacket.jpg
..............\......\....\.........\book-clock.jpg
..............\......\....\.........\fotolia-landscape-400.jpg
..............\......\....\.........\00594610-photo-western-digital-my-book-office.jpg
..............\......\....\.........\servicekitchen.jpg
..............\......\....\.........\coffee-shop-amsterdam1.jpg
..............\......\....\.........\Image938.jpg
..............\......\....\.........\tree2.jpg
..............\......\....\.........\gallery_mural_carina_lg.jpg
..............\......\....\.........\93631_karlie_kratzbaum_outdoor2_1.jpg
..............\......\....\.........\california-giant-sequoia-trees.jpg
..............\example_train_histoint_feat_boost.m
..............\gui
..............\...\features_push_add_callback1.m
..............\...\features_push_remove_callback1.m
..............\...\coeff_edit_data_callback2.m
..............\...\coeff_edit_data_callback25.m
..............\...\coeff_edit_data_callback13.m
..............\...\coeff_edit_data_callback22.m
..............\...\coeff_edit_data_callback23.m
..............\...\coeff_edit_data_callback12.m
..............\...\database_edit_callback1.m
..............\...\display_selected_pattern.m
..............\...\gui_number_of_features.m
..............\...\config_gui.m
..............\...\coeff_edit_data_callback17.m
..............\...\coeff_edit_data_callback8.m
..............\...\coeff_edit_data_callback3.m
..............\...\coeff_edit_data_callback4.m
..............\...\coeff_edit_data_callback21.m
..............\...\nbfeat_haar.m
..............\...\coeff_edit_data_callback15.m
..............\...\database_edit_callback2.m
..............\...\coeff_edit_data_callback10.m
..............\...\coeff_edit_data_callback7.m
..............\...\coeff_edit_data_callback5.m
..............\...\coeff_edit_data_callback16.m
..............\...\coeff_edit_data_callback1.m
..............\...\features_list_callback1.m
..............\...\coeff_edit_data_callback14.m
..............\...\coeff_edit_data_callback6.m
..............\...\coeff_edit_data_callback20.m
..............\...\coeff_push_callback1.m
..............\...\coeff_edit_data_callback24.m
..............\...\coeff_edit_data_callback18.m
..............\...\coe