搜索资源列表
waveannprotected
- Wavelet transforms are used to reduce image information redundancy because only a subset of the transform coefficients are necessary to preserve the most important facial features such as hair outline, eyes and mouth. We demonstrate experimentally th
PCA_cov
- 用神经网络中的PCA算法对人脸图像进行压缩及恢复-PCA with a neural network algorithm for image compression on the face and back
compression_3
- 在神经网络中用求协方差矩阵的方法对人脸图像进行压缩及恢复-In the neural network covariance matrix using the method of face image compression and restoration
compression2_2
- 在神经网络中用迭代法对人脸图像进行压缩及恢复-Iteration in the neural network human face using image compression and restoration
renlianbianshi
- 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
Face_and_Face_exsipression_Recognition
- One of Biometrics fields is face recognition & face expression recognition ... 1- In face recognition .. we need to design authentication program by training a neural network ,there are two source codes..one of them is based on Discrete Wavelet Tr
LVQ
- LVQ神经网络的预测——人脸识别 LVQ神经网络的预测——人脸识别-LVQ neural network forecasting- LVQ neural network prediction Face- Face Recognition
5463591NeuralFaceRec
- Face Recognition Neural Network
v3.3
- 毕业设计中 用VC++写的基于神经网络的人脸识别程序 优秀毕业设计 可供毕业设计学生和相关研究人员参考-Graduation written using VC++ face recognition program based on neural network design for outstanding graduate students and graduate design research Reference
face-detection
- Face Detection using Gabor feature extraction and neural network
Face-Recognition-System
- 人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容-Face recognition technology is a very active research field, it covers digital image processing, pattern recognition, computer vision, neural networks, psychology, physiology, mathemati
FACE-RECGNITION
- 基于MATLAB的人脸识别算法，使用2D-DCT,自组织算法以及离散余弦变换-A MATLAB based Face Recognition System using Image Processing and Neural Networks
face_recognition_PCAPBPNN
- The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
face-detection
- 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
face_detection_code
- 用gabor 来做特征提取，用神经元网络来分类的人脸检测代码，配有详细的代码解释，适合初学者-use gabor for feature extraction,use neural network as a classifier to detect face in a image
face
- 基于神经网络的人脸识别的一种算法，比较简单，可以改进-Face recognition based on a neural network algorithm
face4
- 基于神经网络的人脸识别的一种算法，给出了计算识别率的方法-Neural network-based face recognition algorithm, gives the recognition rate calculation method
pca-som
- matlab下采用som神经网络算法进行100个人脸识别，可扩展性强。-som neural network using matlab under 100 face recognition algorithm, scalability.
LVQ-neural-network
- 一个案例 LVQ神经网络的预测——人脸朝向识别-LVQ neural network prediction- Face towards the identification
fdp5final
- Face Detection System 基于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