搜索资源列表
SIFT
- 一种很好的基于SIFT算子的人脸识别方法的介绍，文章有很不错。-A good SIFT-based operator of the introduction of face recognition method, there is a very good article.
00554196
- ieee papers on face recognition technology
01106905
- face recognition ieee paper
01202342
- face recognition ieee papers
Basedonwaveletanalysisandprincipalcomponentanalysi
- 基于小波分析和主成分分析的人脸识别研究随着社会的发展，社会各个方面对快速有效的身份验证的要求日益迫切。由 于生物特征是人的内在属性，具有很强的自身稳定性和个体差异性，因此是身份 验证的理想依据。其中利用人脸特征又是最自然直接的手段，相比其他生物特征， 它具有直接、友好、方便的特点，易于为用户接受。从而，人脸识别吸引了越来 越多来自计算机视觉和信号处理等领域的关注，成为模式识别、图像处理等学科 的研究热点。-Based on wavelet analysis and princ
luyouqijichu
- 生物识别技术在科研领域取 得了极大的重视和发展。由于生物特征是人的内在属性，具有很强的自身稳定性和个 体差异性，因此是身份验证的最理想依据川。其中，利用人脸特征进行身份验证又是 最自然直接的手段，与指纹、虹膜、掌纹等其他人体生物特征识别系统相比，人脸识 别系统更加友好，方便，易于为用户所接受，有广阔的应用领域。-Biometric technology in the research field of great importance and development. Biolo
Ear1
- ImagesIEEE上有关图像处理的论文：基于结构分类系统的人耳识别 -Structure Classifier System For Ear Recognition
ear6
- IEEE上关于人耳图像识别的论文：基于多Agent的脸和耳朵融合识别-FACE AND EAR FUSION RECOGNITION BASED ON MULTI-AGENT
renlianshibie
- 人脸识别各种算法，常用人脸识别方法，比如特征方法-Face recognition algorithms, commonly used face recognition methods, such as the characteristics of methods
Recognition
- 人脸识别是生物特征识别技术中一个非常活跃的课题,取得了很多研究成果。统计主元分析法( Prin2cipal ComponentsAnalysis, PCA)是人脸特征提取和识别的常用方法之一。-Face recognition is an active subject in the area of biometrical recognition technology, and lots of achievements have been obtained. Principal Compone
faceidentify
- 人脸识别的文献，《人脸识别实验平台设计及人脸识别算法实现.nh》，希望对大家有帮助-Face recognition literature, " Design and experimental platform face recognition face recognition algorithm. Nh" , want to help everyone
ActiveFaceRecognition
- 生物特征的自动识别技术得到广泛研究与开发，如指纹识别、掌形识别等。人脸识别是基于脸像的身份鉴别，-Automatic biometric identification technology is widely research and development, such as fingerprint recognition, hand geometry identification. Face recognition is based on the identity of the face su
FaceDetection
- 图像领域中涉及到人脸检测方法的论述，较全面的总结了各种人脸识别方法及其所用算法。-Images of people involved in the field of face detection methods of exposition, a more comprehensive summary of the various face recognition methods and algorithms used.
PCAface
- 基于PCA的人脸识别理论基础与部分源代码，大家看看是否有用-PCA-based face recognition theory and some of the source code, take a look at the usefulness of
A-Feature-Based-Approach-to-Face-Recognition
- Feature extraction for face recognition
nps20-062306-10
- 做生物识别认证必备文档 指纹数据格式 ANSI-377 ANSI-378 ANSI-381 人脸识别数据格式 ANSI-385 虹膜(视网膜)识别数据格式 ANSI-379 -Essential document identification data format of the fingerprint data format ANSI-377/ANSI-378/ANSI-381 of face recognition data for
Face-recognition-and-face-detection
- 人脸识别与人脸检测的论文，可以看看，了解人脸识别及人脸检测的技术-Face recognition and face detection paper can look for face recognition and face detection technology
A-survey-of-face-recognition
- 人脸识别纵览PPT，介绍了主要方法和途径-Face Overview PPT, introduced the main methods and approaches
face-recognition-of-svm-and-pca
- the face recognition of svm and pca-the introduaction of svm and pca,and the use of them in face recognition.
face-recognition-matlab-code
- 基于PCA的人脸识别matlab代码。建立特征脸空间，而后将预存人脸图像和待识别图像投影到特征脸空间上，可以得到较高的识别率-Based on PCA face recognition matlab code. The eigenface space is established, and then the stored face image and the image to be recognized are projected onto the feature face space, and