Description: 将BP 神经网络用于人脸识别,建立了人脸识别模型,研究了样本采样训练、样本批量训练和样本完整
训练三种训练策略对识别率的影响。所设计的识别模型包括图像压缩、图像抽样、输入矢量标准化、BP 神经网络与
竞争选择处理过程。利-BP neural network will be used for face recognition, face recognition model set up to study samples of the training sample, the sample volume and sample integrity training training training strategy for the identification of the three rates. Designed to identify the model, including image compression, image sampling, input vector for Standardization, BP neural network and competitive selection process. Lee Platform: |
Size: 147456 |
Author:任永新 |
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Description: 这是一份基于人工神经网络的人脸训练源码。可以用于训练识别表情，定位人脸以及五官。并且里面还有一个图形库的包-This is an artificial neural network-based face training source. Can be used for training to identify facial expressions, positioning Face and facial features. And inside there is a graphics library package Platform: |
Size: 621568 |
Author:bbplayer |
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Description: 一个典型的人脸识别系统主要包括训练过程和识别过程。训练过程主要完成将已知人脸进行定位、特征提取与选择、以及分类器的设计；识别过程则完成将未知图片进行处理，并最终识别出身份的分类和决策-A typical face recognition system mainly include the training process and the identification process. Completion of the training process will be the main face of known position, feature extraction and selection, and classifier design identification process will be completed to deal with the unknown image, and ultimately identify the identity of the classification and decision-making Platform: |
Size: 686080 |
Author:likunbao |
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Description: 找出人脸，会把眼睛，鼻子，用红线圈起来，用C++与OPenCV结合实现。-Identify the human face, will be the eyes, nose, with red coils, use C++ and realize OPenCV combination. Platform: |
Size: 1475584 |
Author:侯小刚 |
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Description: 基于PSO训练SVM的人脸识别
利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径-PSO-based SVM for face recognition training using support vector machine learning ability in the performance of good performance, combined with KPCA feature extraction method, applied to face recognition, the method in experiments to identify the performance of a good performance for the field of face recognition has provided a new way to identify Platform: |
Size: 1097728 |
Author:彭伟 |
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Description: Eigenfaces: PCA tends to find a p-dimensional subspace
whose basis vectors correspond to the maximum
variance direction in the original image space (p N).
We called the new subspace defined by basis vectors “face
space”. First, all training faces are projected onto the face
space to find a set of weights that describes the contribution
of each vector. Then we project all testing faces onto the
face space to obtain a set of weights. Finally, we identify
the face by comparing a set of weights for the testing face
to sets of weights of training faces. Platform: |
Size: 7017472 |
Author:sam |
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Description: Eigenfaces: PCA tends to find a p-dimensional subspace
whose basis vectors correspond to the maximum
variance direction in the original image space (p N).
We called the new subspace defined by basis vectors “face
space”. First, all training faces are projected onto the face
space to find a set of weights that describes the contribution
of each vector. Then we project all testing faces onto the
face space to obtain a set of weights. Finally, we identify
the face by comparing a set of weights for the testing face
to sets of weights of training faces. Platform: |
Size: 11264 |
Author:sam |
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Description: 对人脸图像库的训练素材进行主成分分析，从而识别人脸图像。较详细说明见程序内部。-Face image database on the training material for the principal component analysis to identify the face image. See more details within the program. Platform: |
Size: 2048 |
Author:陶帅 |
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Description: 利用训练标准，利用PCA进行人脸识别，其中利用奇异值定理和能量选择来进行识别空间重构。-Use of training standards, the use of PCA for face recognition, including the use of singular value theorem and the energy of choice to identify space reconstruction. Platform: |
Size: 1024 |
Author:ChenSiyu |
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Description: 人脸识别，人脸图像预处理；读入人脸库，训练形成特征子空间；把训练图像和测试图像投影到上一步骤中得到的子空间上；选择一定 的距离函数进行识别。-Recognition, face image preprocessing read into the face database, training the formation of the feature sub-space the training images and test images were projected into the subspace obtained in the previous step select a certain distance function to identify. Platform: |
Size: 14336 |
Author:里根 |
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Description: 基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。
-Good performance, performance in the ability to learn the use of support vector machines based on PSO training SVM face recognition combined kernel principal component analysis feature extraction method will be applied to the face recognition, the method in experiments demonstrated good recognition performance identify a new pathway for face recognition has been tested. Platform: |
Size: 1098752 |
Author:wgh |
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Description: 用matlab实现的基于马尔科夫模型和支持向量机的人脸识别系统。非原创，运行了效果很好，功能很强大。具体功能：可根据训练与测试样本生成数据库；计算人脸识别率（96.5 ）；可以识别出指定的图像；可以识别摄像头获取的人脸图像。-Matlab based on markov model and support vector machine (SVM) face recognition system. The original, run the effect is very good, the function is strong. Specific functions: but according to the training and testing sample generation database Calculation face recognition rate (96.5 ) Can identify the specified image Can identify camera for face image. Platform: |
Size: 4216832 |
Author:朝颜 |
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Description: 基于opencv库中的人脸识别代码，可以实现检测并跟踪视频中的人脸，可以选择训练人脸模型，或者直接加载训练好的人脸模型来识别视频中的人脸身份。-Based opencv library, this face recognition code can be achieve detecting and tracking faces in the video. You can choose training face model, or load directly trained human face models to identify the video face identity. Platform: |
Size: 2940928 |
Author: |
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Description: 根据pca主程序分析的人脸识别。测试集用于训练特征脸空间，测试集是一张人脸一张动物脸，程序目的是识别出人脸与非人脸-Face recognition based on the analysis of the main pca. Test set for training Eigenface space, a test set is a human face animal face, the program aims to identify the face and non-face Platform: |
Size: 1024 |
Author:charleschoi |
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Description: ## 人脸识别GUI设计
这是我在理解PCA算法后，设计`MATLAB GUI`实现人脸识别。
### 使用方法：
1. 运行face.m主脚本
2. 点击`训练机器`选择train文件夹
3. 点击`choose photo`选择test文件夹下的一张图片
4. 最后点击`recognize`即可进行识别
5. 点击`Accuracy`可计算整个test文件夹下所有图识别准确率
###(## face recognition GUI design
This is my understanding of the PCA algorithm, the design of `MATLAB GUI` to achieve face recognition.
### use method:
1. run the face.m master script
2. click on ` training machine ` select train folder
3. click `choose photo` to select a picture under the test folder
4., click `recognize` to recognize
5. click "`Accuracy`" to calculate all the test folder under the map to identify the accuracy rate
###) Platform: |
Size: 2177024 |
Author:innce
|
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Description: 实现人脸识别，标识。首先采集人脸信息，训练后保存，即可识别(Face recognition, identification. First of all, the acquisition of face information, after training to save, you can identify) Platform: |
Size: 13416448 |
Author:yamsh
|
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Search - training face identify