Description: 关于做人脸检测的时候所用到的Haar-like特征国内的文献讲的不是很详细，大家可以参考一下这篇文献，比较有价值的啊-human face detection of the time when used in the Haar- like characteristics of the domestic literature stresses is not very long Fine, we can refer to this document, the more valuable ah! Platform: |
Size: 784384 |
Author:程艳花 |
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Description: 人脸检测的一个程序,adaboost+cascade+haar
能运行-Face detection of a program, adaboost+ Cascade+ Haar to run Platform: |
Size: 786432 |
Author:who |
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Description: 人脸识别MATLAB工具箱
Faces detection toolbox v 0.1 -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. Platform: |
Size: 18769920 |
Author:he si |
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Description: this a face detector using haar like features
this is an extension of viola jones model with lesser number of features or subset of features-this is a face detector using haar like features
this is an extension of viola jones model with lesser number of features or subset of features Platform: |
Size: 1064960 |
Author:somesh |
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Description: matlab的一个基于realadaboost的人脸检测程序，有详细的源码，包括haar特征的提取，以及若分类器的学习。-Matlab based on adaboost face detection procedures, there are detailed source code, including haar feature extraction, and if the classifier learning Platform: |
Size: 157696 |
Author:杨浦东 |
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Description: 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. Platform: |
Size: 18237440 |
Author:zhu rg |
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