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[Special EffectsFace-recognition

Description: 解决人脸识别系统中,人脸图像的尺寸归一化、位置校准、光照补偿、直方图均衡化、特征提取的工作-Solve the face recognition system, the size of the face image normalization, position calibration, illumination compensation, histogram equalization, feature extraction work
Platform: | Size: 4096 | Author: 瑜Orz | Hits:

[Special EffectsPCA-LDA-face-recognition

Description: PCA LDA 人脸识别 特征脸 类间方差 人脸数据库-etween PCA LDA face recognition feature class variance face database
Platform: | Size: 2048 | Author: z | Hits:

[matlabFace-Recognition

Description: 程序通过提取人脸图像的质心、协方差、偏转角等特征量与数据库中已有参数进行比对,从而进行人脸的识别。-Procedure to extract the centroid of the face image, covariance, the deflection angle has the feature quantity parameters of the database and compared to identify human faces.
Platform: | Size: 2048 | Author: wang | Hits:

[Special Effectspattern-recognition

Description: 基于特征向量的人脸识别,有训练集和样本集,通过Adaboost强分类器算法实现,结果精确度达到95 以上,给定一个example,就可以在样本集中识别出对应的人脸。-Face recognition based on feature vectors have the training set and sample set by Adaboost strong classifier algorithm, the results of more than 95 accuracy, given an example, you can focus on the person identified in the sample corresponding to the face.
Platform: | Size: 8192 | Author: jingwang | Hits:

[Special Effectsface-recog.

Description: 关于人脸识别的毕业论文,基于CVI平台,包括特征匹配等-Thesis on face recognition based CVI platform, including feature matching, etc.
Platform: | Size: 571392 | Author: CHERRY | Hits:

[AI-NN-PRNearest-Feature-Line-Analysis

Description: 基于不相关家别最近邻特征线分析的人脸识别研究。-Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
Platform: | Size: 227328 | Author: | Hits:

[OpenCVSurf

Description: 利用SURF算法,对人脸提取特征点。经作者检验,识别率可以在80 以上。- Extract face feature points using of SURF algorithm. With the inspection, the recognition rate can be above 80 .
Platform: | Size: 2304000 | Author: 屠震元 | Hits:

[OpenCVface-recognition

Description: 主成分分析(PCA)方法是人脸识别技术中常用的一种一维特征抽取方法。基于PCA的人脸识别。-Principal component analysis (PCA) method is commonly used in face recognition technology as a one-dimensional feature extraction methods. A face recognition algorithm based on PCA .
Platform: | Size: 4096 | Author: | Hits:

[Special EffectsFace-detection-and-recognition

Description: 人脸识别代码,通过特征检测,完成识别和特征提取-Face recognition code by feature detection, recognition and feature extraction is completed
Platform: | Size: 133120 | Author: KILLER | Hits:

[matlabFace-recognition

Description: 人脸识别特指利用分析比较人脸视觉特征信息进行身份鉴别的计算机技术。人脸识别是一项热门的计算机技术研究领域,在生活中许多领域都有着重要应用。 这里通过对人脸图像打上网格,对区域块图像做二值分析,通过像素比例来做处理。进而得到人脸区域。-Especially the use of face recognition visual analysis and comparison of facial feature information to identify the identity of the computer technology. Face recognition is a hot research field of computer technology, many areas in life has important applications. Here to play through the grid on the face image of the area to do a binary block image analysis, done by pixel ratio processing. Then get the face region.
Platform: | Size: 1024 | Author: 叫姐姐 | Hits:

[OtherFeature-Extraction-and-Face-recognition--Techniqu

Description: Face Recognition has become one of the important areas of research in Computer Vision. Human Communication is a combination of both verbal and nonverbal. For interaction in the society, the human face serve as the primary canvas used to express distinct emotions nonverbally.
Platform: | Size: 349184 | Author: meitei | Hits:

[Special EffectsHaar-feature-extraction

Description: Haar特征提取,广泛运用于人脸识别,指纹识别等图像识别领域。-HAAR feature extraction, is widely used in the field of face recognition, fingerprint identification, image recognition.
Platform: | Size: 504832 | Author: zhaodan | Hits:

[Special EffectsFace-recognition-system

Description: 本程序主要处理BMP位图,依次进行“人脸检测与定位”操作和“人脸特征标注”操作,最后进行识别以区分先后两个人脸。-This procedure is mainly handle BMP bitmap, in order to face detection and localization operation and facial feature annotation operation, finally carries on the recognition to distinguish has two face.
Platform: | Size: 252928 | Author: 孟浩 | Hits:

[matlabWavelet-Recognition-matlab

Description: 基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性,具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真-Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of complex lighting conditions in human face images effective feature capabilities. Wavelet transform feature extraction matlab simulation
Platform: | Size: 390144 | Author: suca | Hits:

[Industry researchSparse-Lowrank-Approximation

Description: 基于稀疏表示和低秩逼近的人脸识别新方法,对于研究生物特征识别的朋友可以作为参考-The sparse and low rank approximation of the face recognition method based on the research on biological feature recognition, friends can be used as reference
Platform: | Size: 331776 | Author: 冷福 | Hits:

[matlabfeature

Description: We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression
Platform: | Size: 4096 | Author: sheida | Hits:

[Special Effectstianli-matlab_offscreen-a2352dc

Description: 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.--On the ICA face feature extraction PPT, to make face recognition or face recognition feature extraction helpful.
Platform: | Size: 1889280 | Author: jokk | Hits:

[OpenCVface

Description: 基于opencv自带的Haar特征分类器的人脸识别,可识别完整的人脸并用圆圈圈出。-Based opencv comes Haar classifier recognition feature, you can identify the full face and a circled.
Platform: | Size: 1024 | Author: bangbang | Hits:

[OtherFace-recognition-system

Description: 人脸识别系统,通过特征提取相同的多个面部特征来获得的脸,人脸识别-Face recognition system, by the same multiple facial feature for feature extraction to obtain the face, as face recognition
Platform: | Size: 6280192 | Author: 潘元虎 | Hits:

[DocumentsPCA_ORL

Description: 人脸识别技术作为生物体特征识别技术的重要组成部分,在近些年来已经发展成为计算机视觉和模式识别领域的研究热点。本实验是基于K-L变换的主成分分析法(PCA)在人脸识别中的应用,在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真,并对样本图像进行了重构。本实验在ORL人脸库的基础上,选用每人前5张图片,共计40人200幅样本图像,通过快速PCA算法将10304维的样本特征向量降至20维,并实现了基于主分量的人脸重建,验证了PCA算法在高维数据降维处理与特征提取方面的有效性。-Facial recognition technology as a biological feature recognition technology is an important part of, in recent years has become a hot research topic in the field of computer vision and pattern recognition.This experiment is based on K- L transform principal component analysis (PCA) in the application of face recognition, based on ORL face validation of rapid PCA algorithm was realized by Matlab simulation, and reconstructed the sample image., on the basis of the experiment on ORL face , choose top 5 pictures each, a total of 40 people 200 sample image, through rapid PCA algorithm the sample feature vector of 10304 d down to 20 d, and implements the face reconstruction based on principal component, PCA algorithm is verified in the high-dimensional data processing and feature extraction is effective to dimension reduction.
Platform: | Size: 20067328 | Author: 季科 | Hits:
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