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基于神经网络的人脸识别,效果很不错。 Neural Network-Based Face Detection-based on neural networks face recognition, the effect is pretty good. Neural Network-Based Face Detection
Update : 2025-02-17 Size : 1.69mb Publisher : gary xu

DL : 0
该程序是在vc环境下编写的bp神经网络c++类库,能够广泛应用于人脸检测以及动作监控。-The program environment in vc prepared bp neural network c++ Class library that can widely used in face detection and action monitoring.
Update : 2025-02-17 Size : 20kb Publisher : 孙继开

DL : 0
基于BP神经网络的人脸图像边缘检测的算法-BP neural network-based face image edge detection algorithm
Update : 2025-02-17 Size : 282kb Publisher : dgs

一个外国人写的人脸检测程序,用到svm,pca,神经网络,还不错-Written by a foreigner face detection procedure, used svm, pca, neural network, but also good
Update : 2025-02-17 Size : 190kb Publisher : 谢朝

一种基于神经网络的人脸检测算法,主要介绍神经网络的算法-A Neural Network Based Face Detection algorithm, introduce the main neural network algorithm
Update : 2025-02-17 Size : 84kb Publisher : 文艺

很不错的小波神经网络人脸检测源码,与大家分享-Very good wavelet neural network face detection source code to share with you
Update : 2025-02-17 Size : 5kb Publisher : 李坤

很不错的小波神经网络人脸检测源码,与大家分享-Very good wavelet neural network face detection source code to share with you
Update : 2025-02-17 Size : 2kb Publisher : 李坤

DL : 0
基于VC的人脸检测系统源码,其中用到了神经网络的相关理论进行编程-VC-based Face Detection system source code, which uses a neural network theory to program
Update : 2025-02-17 Size : 218kb Publisher : sanjinzhi

matlab编写的基于神经元网络的人脸检测代码-prepared matlab neural network-based face detection code
Update : 2025-02-17 Size : 1.12mb Publisher : 肖汉

基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
Update : 2025-02-17 Size : 212kb Publisher : 郭鲁强

本程序是想人们说明了一种基于Gabor小波与神经网络的人脸检测的算法-This procedure is explained to people based on Gabor wavelet and neural network face detection algorithm
Update : 2025-02-17 Size : 284kb Publisher : 韩小芳

Face Detection using Gabor feature extraction and neural network by matlab
Update : 2025-02-17 Size : 204kb Publisher : tony

这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码 使用步骤: 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network",等待程序训练好样本 5. 点击"Test on Photos",选择一个.jpg图片,识别。 6. 等待程序检测出人脸区域 createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-This is a use of the Gabor feature extraction and artificial intelligence source code of face detection system using the steps: 1. Copy all files to the MATLAB working directory (sure you have installed the Image Processing Toolbox, and artificial intelligence toolbox) 2. Found " main.m " file 3. the command line, run it 4. Click the" Train Network " , waiting for a good sample of the training program 5. Click the" Test on Photos " , select a. jpg image recognition. 6. Wait for the program detects the face region createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m
Update : 2025-02-17 Size : 137kb Publisher : 郑碧波

完整的包括皮肤及动作识别的C++人脸检测源代码,涉及的技术有:小波分析,尺度缩减模型(PCA,LDA,ICA),人工神经网络(ANN),支持向量机(SVM),SSE编程,图像处理,直方图均衡,图像滤波,C++编程等。-Complete, including skin and actions identified C++ face detection source code, the technology involved are: wavelet analysis, scaling down model (PCA, LDA, ICA), artificial neural network (ANN), support vector machine (SVM), SSE Programming , image processing, histogram equalization, image filtering, C++ programming.
Update : 2025-02-17 Size : 452kb Publisher : 黄大伟

此文的目的有三个:第一,当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次,注册稀疏Winnows网络分割,提出了加快原分类。最后,特点和分类相结合对于正面人脸检测任务。检测结果列 为MIT + CMU系统和BioID数据库。关于这人脸检测器,接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabcentral/fileexchange/ loadFile.do?的ObjectID = 13701&的objectType =FILE下载。 -The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors. A Matlab version of the face detection algorithm can be downloaded from http://www.mathworks.com/matlabcentral/fileexchange/ loadFile.do?objectId=13701&objectType=FILE.
Update : 2025-02-17 Size : 1.33mb Publisher :

Face Detection using Gabor feature extraction and neural network
Update : 2025-02-17 Size : 1kb Publisher : uday

一个用神经网络进行人脸检测的程序,解压后运行main.m文件,之后对神经网络进行训练,需要一定的时间,耐心等待,最大400个周期,然后就可以对灰度人脸图像进行检测了。 -A neural network with a face detection program, run the main.m file after decompression, the neural network after training, take time, patience, maximum 400 cycles, and then you can on the gray face image detected.
Update : 2025-02-17 Size : 142kb Publisher : kalman_zero

基于高波小波特征提取和神经网络的人脸检测Matlab源码-Matlab source code based on the high wave wavelet feature extraction and neural network face detection
Update : 2025-02-17 Size : 220kb Publisher : 谢杰

face detection system,for matlab simulink neural network
Update : 2025-02-17 Size : 162kb Publisher : saeid

REVIEW OF FACE DETECTION SYSTEMS BASED ARTIFICIAL NEURAL NETWORKS ALGORITHMS
Update : 2025-02-17 Size : 661kb Publisher : HansanaA
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