搜索资源列表
LDA
- 线性判别分析LDA人脸识别代码，识别率计算-Linear discriminant analysis LDA face recognition code recognition rate
gender-recognition
- 包括中西方人的人脸性别识别。基于局部Gabor变换直方图序列(LGBPHS)的方法。图像噪声、光照和人脸角度变化对性别识别的影响都非常小。 尤其对东方人的性别识别率可达96 -Including Westerners who face gender identification. Based on local Gabor transform histogram sequence (LGBPHS), method. Image noise, light and face angle chan
sj2
- 人脸识别程序，包括PCA，LDA特征提取，内含GUI界面，数据库生产，识别率等-Face recognition program, including PCA, LDA feature extraction, contains GUI interface, database production, recognition rate
100p-Accuracy-in-Automatic
- 人脸识别系统在一定的条件下识别率达到了100 -Face recognition system recognition rate of 100 under certain conditions
PCA_basedPFacePRecognitionPSystem1
- 基于PCA算法的人脸识别程序，识别率达到百分之八十，绝对可用，是很好的学习demo-PCA algorithm-based face recognition program, the recognition rate is 80 percent, absolutely free, is a good learning demo
facedetection
- 人脸检测，识别率特别高,用于matlab-Face detection, particularly high recognition rate
ANN_RENLIANSHIBIE
- ANN对人脸识别算法,正确识别率可达到80 -ANN
fisher
- 运用opencv自带的fisherface算法进行人脸识别并检测识别率-Use comes with opencv fisherface algorithm for face recognition and detection and identification rate
faceRegnize
- 很好的人脸识别程序，有现成的人脸库，matlab编写，有很高的识别率-Good face recognition procedures, off-the-shelf face database, matlab prepared, high recognition rate
14423169PCA
- 基于PCA方法对人脸的识别，有特征的提取，识别率的输出-PCA-based face recognition method with feature extraction, the recognition rate of output
PCA
- 基于PCA的人脸识别，识别率的输出，人脸特征的提取。-PCA-based face recognition, the recognition rate of output, face feature extraction.
pca0.9
- 基于PCA的人脸识别程序，用ORL数据库，更改一下路径，识别率有0.8-PCA-based face recognition program, with the ORL database, change my path, the recognition rate of 0.8
PCA_based-Face-Recognition-System
- 基于PCA的人脸识别算法，包含了一个小型的数据库，可以直接运行，识别率相当高，可以作为教学演示以及其他研究-PCA-based face recognition algorithm, contains a small database, can be directly run, the recognition rate is very high, can serve as a teaching demonstration and other research
real-time-facedetection-and-tracking
- 本文运用haar特征分类，对人脸进行动态的检测和跟踪，经过试验对比可以发现效果很好，识别率较高-This paper uses haar feature classification, human face detection and tracking of dynamic, contrast can be found through the test with good results, the recognition rate is higher
Face-orientation-recognition
- 本课题研究的步骤如下：先提取人脸的特征向量；产生训练样本和测试样本；再用LVQ创建神经网络模型，该模型用训练样本进行训练调整权值；用测试样本对建立的人脸朝向识别模型进行验证，要求有较高的识别率。 本课题要求使用LVQ神经网络的算法进行Matlab仿真，对人脸朝向进行有效的判断和识别。 -This study is the following steps: first extract facial feature vector generate training and testing
pattern1_a
- . PCA人脸识别 A．闭集测试。用每个人的前5张图像作为训练，剩下的5张图像作为测试。也就是说总共有200张训练图像和200张测试图像。采用最近邻分类，分析选取不同的主分量个数K，对识别率的影响 -. PCA Face Recognition A. Closed set tests. With each of the first five images for training, the remaining 5 images as a test. That is a total of
renlianjiance
- 人脸识别中人脸检测部分的C代码，检测率可达95 。-Face human face detection part of the C code, the detection rate of 95 .
Facedetection
- 基于opencv的人脸检测程序，识别率很高，运行时间短，程序简单实用。-Based on opencv face detection procedures, the recognition rate is very high, short operation time, procedures simple and practical.
RSC
- RSC实现人脸识别，使用PCM降维并且采用gabor滤波器来提高识别率-RSC face recognition, using the PCM dimensionality reduction and the use of gabor filter to improve the recognition rate
PCAFaceRec
- 基于ORL人脸库的人脸识别源程序，识别率88％。-Based on the ORL face database for face recognition source code, the recognition rate of 88.