搜索资源列表
ICAmm
- 用matlab实现的ica人脸识别程序, 能实现, 识别率还比较高
icaFacesCode
- ICA的人脸识别方法，识别率较高，算法较好，很有价值
icaFacesCode
- 使用ica算法实现的人脸识别的程序，由牛人写的
ffang_20070207_TNN2002_FaceRecognitionICA
- 有关ICA人脸特征提取的PPT,对于做人脸识别,或表情识别提取特征很有帮助.
用matlab实现的ica人脸识别程序
- 用matlab实现的ica人脸识别程序, 能实现, 识别率还比较高,Ica with matlab realize the face recognition process, to realize, the recognition rate is still relatively high
FaceRecEvaluator
- 人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
icaFaces
- ICA编写的一个程序，用于人脸识别。希望对大家有作用。-ICA written a program for face recognition. We want to play a role.
facerego
- 用于人脸识别，采用ica算法，用matlab编写-For face recognition, ica algorithm
Face-Detection
- 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 m
icaFacesCode(m)
- 基于ICA的人脸识别，可以根据相片来鉴别人像-ORL face recognition based on, can be used to identify portrait photos
ICA-face-recognition
- 主要是用独立主成分分析，做人脸识别，通过训练集和测试集的比对，得出识别率-ICA face recognition
ICA
- ICA人脸识别算法实例matlab源码,人脸识别专用的-ICA FOR MATLAB
ICA-face-recgnition
- 这也是我组会时作报告的资料，是关于ICA算法用于人脸识别的。-a comparehensive report for our team
ica
- 图象识别，人脸识别和混合图象、盲信号可以使用此方法-about the realise of image and the realise of the face ,and complex subjects can use the way about ica solution
ICAface
- ICA 人脸识别系统程序，利用像素匹配的原理实现人脸识别-ICA face recognition system program, the use of pixel-matching principle to achieve recognition
Improved-ICA-face-recognition
- 针对传统的ICA算法存在的计算复杂度过高,训练和识别消耗时间过多的问题,通过对一般的用于人脸识别的小波变换(WT)方法加以改进,实现了一种基于WT的ICA算法-Spend too many time-consuming problem of high training and recognition complex calculations exist for the traditional ICA algorithm to be improved by the method generally
Sym_ICA1
- 基于对称图像矩阵的ICA人脸识别方法,其中训练样本为RL库中前20组的前五幅图像。输入（即测试样本）为前20组的后五幅图像，输出为与输入匹配的训练样本.-ICA face recognation
pcaPica
- ICA和PCA两种方法，实现了基于ORL人脸库的方法。识别率较高，适合初学者学习。-ICA and PCA are two ways to achieve based on ORL face approach. High recognition rate, suitable for beginners to learn.