Description: 神经网络bp算法源代码，各个部分的包括函数逼近，函数定义等的功能-Bp neural network algorithm source code, the various parts, including function approximation, function definition function Platform: |
Size: 16384 |
Author:ye |
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Description: 人脸识别源代码，分为人脸检测，人脸识别等几部分-Face recognition source code, is divided into face detection, face recognition and other parts Platform: |
Size: 4096 |
Author: |
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Description: 基于fisherface的人脸图像识别，采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition
method, which is called Fisherface [1].
All functions are easy to use, as they are heavy commented.
Furtheremore, a sample script is included to showe their usage.
In general, you should follow this order:
1. Select training and test database paths.
2. Select path of the test image.
3. Run CreateDatabase function to create 2D matrix of all training images.
4. Run FisherfaceCore function to produce basis s of facespace.
5. Run Recognition function to get the name of equivalent image in training database.
For your convenience, I have prepared sample training and test databases, which are parts
of face94 Essex face database [2]. You just need to copy the above functions, along with
the training and test databases into a specified path (for example work path of your
MATLAB root). Then follow dialog boxes, which will appear upon running examp Platform: |
Size: 262144 |
Author:paul |
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Description: 人脸识别代码，已经验证通过，matlab写的。该程序有两部分，一部分快速识别，一部分是精确识别-Face recognition code has been verified through, matlab written. The program has two parts, rapid identification, part accurate identification Platform: |
Size: 2064384 |
Author:kk |
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Description: Face Recognition System
Face Detection in Matlab
Face Recognition Software
PCA-based Face Recognition System
Face & eye detection
Face Recognition
Face Parts Detection
Face recognition using PCA
Face Detection & Recognition System
Face Detection System
Platform: |
Size: 5486592 |
Author:amin |
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Description: 此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。
-This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second part, you will use the principal component analysis method PCA to realize the low dimensional representation of the face image. Platform: |
Size: 11510784 |
Author:pudnkobe |
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Description: 对输入的图片进行人脸识别并分割出人脸，需要matlab配置Face Parts Detection工具包-Enter the picture of face recognition and dividing a person' s face, you need to configure matlab Face Parts Detection Kit Platform: |
Size: 1024 |
Author:itg |
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Search - face parts matlab