Description: SVM分类器，可用于人脸识别，机器学习等。-Texture feature extraction, and classification, SVM classifier is.Can be used for face recognition, machine learning, etc. Platform: |
Size: 288768 |
Author:令狐鼎 |
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Description: 用VC6.0编写的人脸识别软件，多文档界面。导入人脸图片后软件自动识别人脸。用的是opencv自带的人脸分类器-VC6.0 prepared face recognition software, multi-document interface. Face pictures after import software to automatically recognize faces. The opencv comes face classifier Platform: |
Size: 1883136 |
Author:mjt |
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Description: face recognition using adaboost classifier is done here.it trains the weak classifier and converts to strong classifier Platform: |
Size: 67584 |
Author:sai |
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Description: face recognition is done here for a dataset by sequence of series of images and weak classifiers are trained to get back strong classifier Platform: |
Size: 70656 |
Author:sai |
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Description: 提出了一种基于DCT提取人脸特征技术和支持向量机分类模型的人脸识别方法。利用离
散余弦变换可提取人脸可识别的大部分信息,而支持向量机作为分类器,在处理小样本、高维数等
方面具有独特的优势,且泛化能力很强,无需先验知识。从ORL 人脸库上的实验结果可以看出,
DCT特征提取是很有效的,且SVM的分类性能优于最近邻分类器,同时提高了整个系统的运算速
度。-A face recognition method based on DCT for face feature extraction and support vector machine classification model. Can extract most of the information face recognition using discrete cosine transform and support vector machine as classifier, has unique advantages in dealing with small sample, high dimension and generalization ability, without prior knowledge. As can be seen from the experimental results on the ORL database DCT feature extraction is very effective, and the SVM classification performance better than the nearest neighbor classifier, while increasing the speed of operation of the entire system. Platform: |
Size: 354304 |
Author:罗朝辉 |
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Description: pca算法实现人脸识别，包括数据图片，特征提取算法，最近邻分类器算法-pca algorithm for face recognition, including data pictures, feature extraction algorithm, nearest neighbor classifier algorithms, etc. Platform: |
Size: 584704 |
Author:胡长晖 |
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Description: 本程序实现位图的读写，均衡化，滤波，LBP，LTP特征提取以及基于LBP，LTP和卡方距离，最近邻分类的人脸识别，批量给图片改名等功能-The program can read and write a bitmap, equalization, filtering, LBP, LTP feature extraction and nearest neighbor classifier for face recognition based on LBP, LTP and chi-square distance, rename picture and some other functions. Platform: |
Size: 14533632 |
Author:Annie |
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Description: 基于支持向量机的彩色人脸识别算法，包含完整的分类器。-Color based on SVM face recognition algorithm, including complete classifier. Platform: |
Size: 8662016 |
Author:雷晨雨 |
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Description: 在这篇文章中，我们主要阐述了基于PCA和LDA的人脸识别技术。这个技术包含两个步骤：首先，我们通过PCA将人脸图片从原始向量空间中提取到子向量空间——特征脸空间；然后，再通过LDA获得一个线性分类器。-In this article, we mainly elaborated based on PCA and LDA face recognition technology. This technique consists of two steps: First, we will face images extracted from the original vector space to sub-vector space by PCA- Eigenface space Then, LDA obtained by a linear classifier. Platform: |
Size: 28672 |
Author:zhengluping |
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Description: DK-SVD，CVPR文章 Discriminative K-SVD dictionary learning for face recognition 源码，效果好于原始SRC-DK-SVD，the source code of CVPR paper Discriminative K-SVD dictionary learning for face recognition, its has a better performance than the classical SRC classifier Platform: |
Size: 826368 |
Author:雷翔 |
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Description: full implementation to LDA with Minumum distance Classifier for face recognition and easy to implement. Platform: |
Size: 3152896 |
Author:dode |
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Description: face recognition is the most important
challenging in the research area of computer vision.
Different type of illumination takes place from dim light
condition to dark light condition. Two types of condition
are there. a) Controlled condition b) uncontrolled condition.
In this paper we are presenting a detail survey on image
based face recognition under such uncontrolled condition.
Here we explore different technique proposed for
illumination problem and in addition with the classifier that
we have been successfully used for the face recognition in
general.-face recognition is the most important
challenging in the research area of computer vision.
Different type of illumination takes place from dim light
condition to dark light condition. Two types of condition
are there. a) Controlled condition b) uncontrolled condition.
In this paper we are presenting a detail survey on image
based face recognition under such uncontrolled condition.
Here we explore different technique proposed for
illumination problem and in addition with the classifier that
we have been successfully used for the face recognition in
general. Platform: |
Size: 126976 |
Author:saurabh |
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Description: fdtool toolbox for face recognition/detection uses MBLBP/Haar features with Adaboost classifier Platform: |
Size: 18241536 |
Author:sasi |
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Description: 这个程序实现的是knn分类器，用的实例是来人脸识别，来检测分类器的有效性-This program is knn classifier instance is to use face recognition to detect the validity of the classifier Platform: |
Size: 2048 |
Author:李默科 |
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Description: Adaboost算法，广泛使用与人脸识别功能。通过若干弱分类器合成强分类器。-Adaboost algorithm, widely used and face recognition feature. Synthesized by a number of weak classifiers strong classifier. Platform: |
Size: 560128 |
Author:Matthew |
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Description: 1_On the Dimensionality Reduction for Sparse Representation based
Face Recognition
2_Fingerprint Pore Matching based on Sparse Representation
3_Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and
Non-MA Dictionary Learning
4_Parallel versus Hierarchical Fusion of Extended Fingerprint Features
5_Monogenic Binary Pattern (MBP): A Novel Feature Extraction and
Representation Model for Face Recognition Platform: |
Size: 1445888 |
Author:abdou |
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Description: vs2010环境下，用Haar分类器进行人脸识别，并标志出人脸-Under vs2010 environment, using Haar classifier for face recognition and sign a human face Platform: |
Size: 15595520 |
Author: |
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Search - face recognition classifier