matlab的egde源代码-sdm_face_alignment:人脸对准的监督下降方法（SDM）的Matlab实现
matlab的egde源代码Matlab监督下降法的实现
用于面对齐的监督下降方法（SDM）的简单Matlab实现。
我提供了培训和测试模块以及300W数据集的LFPW子集的一种经过训练的模型。
您可以找到我的实现的原始文件：
Xiong
et
F.De
la
Torre，监督下降法及其在人脸对准中的应用，CVPR
2013。
==================================================
=========================
依赖关系：
Vlfeat库：
libLinear：
使用的数据集：
[300瓦]
如何使用：
从上面的链接下载300-W数据（即LFPW），并将其放入“
./data”文件夹，然后在setup.m中将数据集路径更正为数据集文件夹
mkdir
-p数据
例如：
options.trainingImageDataPath\n='./data/lfpw/trainset/';
options.trainingTruthDataPath\n='./data/lfpw/trainset/';
options.testingI
文件下载
资源详情
[{"title":"（ 71 个子文件 42.39MB ） matlab的egde源代码-sdm_face_alignment:人脸对准的监督下降方法（SDM）的Matlab实现","children":[{"title":"sdm_face_alignment-master","children":[{"title":"README.md <span style='color:#111;'> 2.68KB </span>","children":null,"spread":false},{"title":"run_matlab <span style='color:#111;'> 61B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 17.60KB </span>","children":null,"spread":false},{"title":"source","children":[{"title":"test","children":[{"title":"cascaded_regress.m~ <span style='color:#111;'> 1.54KB </span>","children":null,"spread":false},{"title":"do_testing.m~ <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"face_alignment.m <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false},{"title":"cascaded_regress.m <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"face_alignment.m~ <span style='color:#111;'> 1.65KB </span>","children":null,"spread":false}],"spread":true},{"title":"train","children":[{"title":"do_learn_variation.m <span style='color:#111;'> 2.97KB </span>","children":null,"spread":false},{"title":"normalize_first_shape.m~ <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":"do_learn_shape.m~ <span style='color:#111;'> 676B </span>","children":null,"spread":false},{"title":"learn_single_regressor.m <span style='color:#111;'> 8.91KB </span>","children":null,"spread":false},{"title":"build_shape_model.m <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"do_learn_variation.m~ <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"do_learn_shape.m <span style='color:#111;'> 787B </span>","children":null,"spread":false},{"title":"learn_single_regressor.m~ <span style='color:#111;'> 8.83KB </span>","children":null,"spread":false},{"title":"learn_single_regressor.m.bk <span style='color:#111;'> 9.71KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"model","children":[{"title":"LearnedCascadedModel.mat <span style='color:#111;'> 42.28MB </span>","children":null,"spread":false},{"title":"w300_DataVariation.mat <span style='color:#111;'> 340B </span>","children":null,"spread":false},{"title":"w300_ShapeModel.mat <span style='color:#111;'> 46.64KB </span>","children":null,"spread":false}],"spread":true},{"title":"run_training.m <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false},{"title":"common","children":[{"title":"desc","children":[{"title":"hog.m <span style='color:#111;'> 759B </span>","children":null,"spread":false},{"title":"raw.m <span style='color:#111;'> 517B </span>","children":null,"spread":false},{"title":"xx_sift.mexa64 <span style='color:#111;'> 13.12KB </span>","children":null,"spread":false},{"title":"local_descriptors.m <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"hog.m~ <span style='color:#111;'> 585B </span>","children":null,"spread":false}],"spread":true},{"title":"eval","children":[{"title":"rms_err.m <span style='color:#111;'> 788B </span>","children":null,"spread":false},{"title":"rms_err.m~ <span style='color:#111;'> 300B </span>","children":null,"spread":false}],"spread":true},{"title":"vec","children":[{"title":"shape_2_vec.m <span style='color:#111;'> 122B </span>","children":null,"spread":false},{"title":"vec_2_shape.m <span style='color:#111;'> 122B </span>","children":null,"spread":false}],"spread":true},{"title":"manifold","children":[{"title":"mean_covariance_of_data.m <span style='color:#111;'> 161B </span>","children":null,"spread":false},{"title":"PCA.m <span style='color:#111;'> 651B </span>","children":null,"spread":false}],"spread":true},{"title":"align","children":[{"title":"init_face_location.m <span style='color:#111;'> 193B </span>","children":null,"spread":false},{"title":"detect_face.m <span style='color:#111;'> 557B </span>","children":null,"spread":false},{"title":"invert_aligned_shape.m <span style='color:#111;'> 223B </span>","children":null,"spread":false},{"title":"quad2Box.m <span style='color:#111;'> 1.65KB </span>","children":null,"spread":false},{"title":"align_to_mean_shape.m <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"align_shape.m <span style='color:#111;'> 229B </span>","children":null,"spread":false},{"title":"bounding_box.m~ <span style='color:#111;'> 372B </span>","children":null,"spread":false},{"title":"normalize_rest_shape.m <span style='color:#111;'> 915B </span>","children":null,"spread":false},{"title":"normalize_first_shape.m <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"cascade_img_scale.m <span style='color:#111;'> 127B </span>","children":null,"spread":false},{"title":"normalize_data.m <span style='color:#111;'> 343B </span>","children":null,"spread":false},{"title":"resetshape.m <span style='color:#111;'> 862B </span>","children":null,"spread":false},{"title":"align_init_shape.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"getbbox.m <span style='color:#111;'> 514B </span>","children":null,"spread":false},{"title":"get_correct_region.m <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"random_init_position.m <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false},{"title":"get_correct_region.m~ <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"random_init_position.m.bk <span style='color:#111;'> 844B </span>","children":null,"spread":false},{"title":"bounding_box.m <span style='color:#111;'> 592B </span>","children":null,"spread":false}],"spread":false},{"title":"err","children":[{"title":"calc_shape_error.m <span style='color:#111;'> 250B </span>","children":null,"spread":false}],"spread":true},{"title":"regression","children":[{"title":"linreg.m <span style='color:#111;'> 612B </span>","children":null,"spread":false},{"title":"linreg.m~ <span style='color:#111;'> 642B </span>","children":null,"spread":false},{"title":"regress.m <span style='color:#111;'> 109B </span>","children":null,"spread":false}],"spread":true},{"title":"graphic","children":[{"title":"draw_shape.m <span style='color:#111;'> 584B </span>","children":null,"spread":false}],"spread":false},{"title":"string","children":[{"title":"strsplit.m <span style='color:#111;'> 3.12KB </span>","children":null,"spread":false}],"spread":false},{"title":"flip","children":[{"title":"flipshape.m <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false}],"spread":false},{"title":"io","children":[{"title":"annotation_load.m <span style='color:#111;'> 362B </span>","children":null,"spread":false},{"title":"load_data.m~ <span style='color:#111;'> 789B </span>","children":null,"spread":false},{"title":"w300_annotation_load.m~ <span style='color:#111;'> 439B </span>","children":null,"spread":false},{"title":"load_data.m <span style='color:#111;'> 749B </span>","children":null,"spread":false},{"title":"lfpw_annotation_load.m <span style='color:#111;'> 767B </span>","children":null,"spread":false},{"title":"w300_annotation_load.m <span style='color:#111;'> 441B </span>","children":null,"spread":false},{"title":"helen_annotation_load.m <span style='color:#111;'> 527B </span>","children":null,"spread":false},{"title":"load_all_data2.m <span style='color:#111;'> 4.39KB </span>","children":null,"spread":false},{"title":"load_all_data.m <span style='color:#111;'> 4.39KB </span>","children":null,"spread":false}],"spread":false}],"spread":false},{"title":"setup.m <span style='color:#111;'> 3.06KB </span>","children":null,"spread":false},{"title":"doc","children":[{"title":"facealignment~ <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"facealignment <span style='color:#111;'> 56B </span>","children":null,"spread":false}],"spread":true},{"title":"do_testing.m <span style='color:#111;'> 2.04KB </span>","children":null,"spread":false},{"title":"lib","children":[{"title":"vlfeat","children":null,"spread":false}],"spread":true}],"spread":false}],"spread":true}]
评论信息
其他资源
- 中科院课程 高性能并行计算课件，程序源码以及考试题
- ofdm频偏估计算法
- TCPIP协议完整版
- Signals and Systems oppenheim 2rd 清晰版
- 西安电子科技大学计算机学院数据结构期末考试卷及答案
- 信息论与编码 Coding Theory: A First Course
- 局域网聊天室资源百度云链接
- 微信飞机大战素材
- labview小游戏
- 数据结构课程设计 校园导航(含源程序及WORD报告)
- Big_Data_Analytics_with_Spark_and_Hadoop-Packt_Publishing2016
- 国家地理信息系统.rar
- BootStrap.zip
- nexus-3.29.2-02-win64.zip
- 类TRexGame-源码
- 区块链行业点评：政策持续助攻、比特币期权上市，本周利好多多-20200120-国盛证券-10页.pdf
- 华中科技大学 微机接口实验 4个实验综合报告
- 基于LabVIEW实时数据采集系统的设计
- B to B电子商务流程图
- NC65数据字典
- 图书馆管理系统C++程序
- 医药管理系统struts+hibernat+mySql，内含需求分析，详细设计文档
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明