搜索资源列表
pca
- it is face recognition code using pca
Face_Transfer_with_Multilinear_Models
- Face Transfer is a method for mapping videorecorded perfor-mances of one individual to facial animations of another. It extracts visemes (speech-related mouth articulations), expressions, and three-dimensional (3D) pose from monocular video or 铿乴m fo
2006_bowyer-survey
- documentation for face modeling and face recognition
yinmaerkefu
- 两篇很好的人脸识别论文，基于不同的方法实现，《基于嵌入式隐马尔可夫模型（EHMM）的人脸表情识别》《 基于DSP的人脸识别系统研究》-2 Face Recognition good thesis, based on different methods of implementation, " Based on Embedded Hidden Markov Model (EHMM) Facial Expression Recognition" " DSP-based Fa
kkk
- 擅 蔓：以人脸的表情识别为实验背景， 分析了在对人脸表情的识别过程中，单个独立分薰对识别率的影响，由此进一步总结了在表情识 别中如何更有效地选取独立子空间，以实现在不影响识别率的前提下，减少用于构成独立子空问所需的独立分量的个数。 独立成分分析；表情识别；独立子空间 -Good man: Face to face identification for the experimental background, the analysis of facial expressions in the
Facedetection
- Face Detection using OpenCV
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
KPCAandSVM
- KPCA与SVM共同用于人脸识别 SVM提高了分类效果 KPCA是一种借鉴SVM中核函数的一种较好的特征提取方法-KPCA and SVM for face recognition SVM together to improve the classification results from KPCA is a kernel function in SVM a better feature extraction method
face_detection_paper
- 两篇人脸检测的英文论文，是花钱买的哦，英文描述中是一篇文章的英文摘要！-Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Efficient face and facial feature det
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- 对人物的面部进行模糊处理，以保护被采访人。-People in the face of the fuzzy processing, in order to protect people to be interviewed.
Face-s2003
- Realistic Human Face Rendering for “The Matrix Reloaded”
Facerecognition
- 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会 议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为 当前模式识别和人工智能领域的一个研究热点。 本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确
frequencybasedfacerecognition
- this is a source code for face recognition using frequency domain
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
MoAT7.1
- This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
OpenCV_FaceDetection_June10
- openCV face detection it is helpul to implement this program.
A_New_Algorithm_ofFastFaceDetection_underComplexCo
- 使用一种新的假面变换和模板匹配的人脸检测算法，能够对复杂环境中大小不等的人脸 进行快速、准确的检测．算法首先通过假面变换来预测人脸位置上边沿的中心，然后对图像中的预 测位置进行模板匹配，设计了一类对照明变化、噪声干扰具有较强适应性的模板匹配方法，最后对 匹配结果进行验证，确定人脸准确位置．采用多种环境下的大量图片进行实验，结果显示该算法具 有较快的检测速度和较高的准确性及鲁棒性． -A novelalgorithm offacedetection based on mask
FaceID
- Face Detection Systems.
YDD_ICCV05_HPF
- "Bayesian Mean Shift Face Tracker" This is a paper about tracking by particle filter. This is very useful.
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.