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SRC 实现了使用基于稀疏表示的人脸识别算法
- 该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
SRC
- sparse representation algorithm
Face-Recognition-Gabor-Occlusion
- 发表于ECCV上的一篇用于人脸识别的算法，Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary -At ECCV on an algorithm for face recognition, Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dic
MatchingPursuits
- Matching Pursuit方法，经典的稀疏表示方法，可以用人脸识别和图像分类，图像去噪，现在非常流行。-Matching Pursuit method, sparse representation of the classic, you can use face recognition and image classification, image denoising, now very popular.
RSC
- 强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the trai
2Dto3D
- 本文提出的基于稀疏线性模型的优化算法能够相对准确、稳定地估计出二维特征点的深度信息。将深度估计值应用于形变算法，可以提高人脸的重建精度。-The proposed model based on sparse linear optimization algorithm is relatively accurate and stable two-dimensional feature points to estimate the depth of information. Estimate the
DISCRIMINANTSPARSENONNEGATIVEMATRIXFACTORIZATION.r
- 判别稀疏非负矩阵分解，提出这个新算法，来进行人脸识别，比传统的NMF和一些其他的扩展算法效果好-Sparse non-negative matrix factorization judge proposed the new algorithm for face recognition, than the traditional extension of NMF algorithm and some other good results
FACE-RECOGNITION
- 此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列 为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
l1benchmark
- 主要用于解决模式识别中稀疏表示人脸识别核心问题L1范数源代码，程序采用同伦算法设计的，在目前稀疏表示多种算法中，同伦算法是性能公认最好的.-Mainly used to solve the sparse representation of face recognition pattern recognition in the core of L1 norm source code, the program designed using the homotopy algorithm, sparse
Centralized-Sparse-Representation
- Sparse Representation or Collaborative Representation Which Helps Face Recognition
Collaborative-Representation
- 稀疏表示和协同编码哪个对人脸识别起到了决定作用。在稀疏表示的人脸识别中，到底是因为稀疏表示的作用还是他们之间的协同编码起了作用。-Sparse Representation or Collaborative Representation: Which Helps Face Recognition ICCV2011
Face-image-classification-method
- 人脸稀疏分类研究，基于DD-DT CWT多字典的人脸特征稀疏分类方法-Face thinning classification, based on DD-DT CWT dictionary feature sparse classification method
face-recognition
- illumination-robust face recognition via sparse representation
Robust-Sparse-Coding
- 文獻「Robust Sparse Coding for Face Recognition」 及matlab代碼-「Robust Sparse Coding for Face Recognition」 and matlab source code.
face-recognition
- 稀疏表示人脸分类与识别，Mayi人脸分类识别框架，识别率非常高-sparse represention for face recognition
SPARSE
- 用matlab实现的基于稀疏表示的人脸识别方法。其中解稀疏表示时，包含了各种方法。-Using matlab face recognition method based on sparse representation. Solution of the sparse representation, contains a variety of methods.
PAMI-Face
- 稀疏表示在鲁棒性人脸识别中的应用，很经典的论文-Sparse representation in the robustness of face recognition, very classic papers
robust sparse classification code
- 本matlab程序适用于论文Robust Sparse Coding for Face Recognition
Face-Recognition_xl
- 基于matlab 的稀疏表示人脸识别源代码-Said face recognition matlab source code based on sparse
sparse_based_face_recognition-master
- sparse face recognition