当前位置：
首页 资源下载
搜索资源 - sparse face Recognition
搜索资源列表
-
2下载：
人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
-
-
0下载：
This my course final project for biometrics. It implements a robust face recognition system. Techniques used include Log-Gabor filter , Kernel Discriminant Analysis(KDA) and Sparse Representation . Test data included(ORL database of faces).-This is m
-
-
0下载：
这是一个用于基于稀疏表示的人脸识别图形库-This is a face recognition based on sparse representation graphics library
-
-
0下载：
采用稀疏表示能够实现N类M个人脸的正常识别-Using sparse representation can be achieved Class N M individual normal face recognition
-
-
2下载：
參考文獻「Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary」and matlab code.-「Gabor Feature based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary」and matlab code.
-
-
0下载：
本文将稀疏表示用到人脸识别中，取得了较好的识别效果。重要的是特征维数要足够大，稀疏表示可以得到准确计算。-This article sparse representation used in face recognition and achieved good recognition effect. The important feature dimension is large enough, the sparse representation can be accurately calcul
-
-
0下载：
基于稀疏表示的人脸识别算法，是核心算法的演示版本-Face recognition algorithm based on sparse representation is the demo version of the core algorithm
-
-
0下载：
稀疏表示在人脸识别中的应用（最新版），很经典论文-Sparse representation in face recognition (latest edition), classic papers
-
-
0下载：
based classification (SRC) has been widely used for face recognition (FR). SRC first codes a testing sample as a sparse linear combination of all the training samples, and then classifies the testing sample by evaluating which class leads to the mini
-
-
0下载：
based classification (SRC) has been widely used for face
recognition (FR). SRC first codes a testing sample as a
sparse linear combination of all the training samples, and
then classifies the testing sample by evaluating which class
leads to
-
-
0下载：
本程序适用于论文Robust Sparse Coding for Face Recognition-this code is for Robust Sparse Coding for Face Recognition
-
-
0下载：
用稀疏表示人脸识别，其中在求解l1范数的部分的matlab源码。-Sparse representation for face recognition, solving l1 norm matlab source.
-
-
0下载：
Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illino
-
-
0下载：
基于稀疏表达的包含测试和训练人脸的数据库的鲁棒性人脸识别-Sparse expression includes testing and training human face recognition database robustness
-
-
1下载：
SRC。基于稀疏表示的人脸识别。其中有我自己改动的部分。-SRC. Face recognition based on sparse representation. Changes which have my own part.
-
-
1下载：
Robust sparse coding(RSC),对带遮挡的人脸识别有效，附带有l1范求解工具包-Robust sparse coding (RSC), effective for face recognition with occlusion l1 norm solving toolkit
-
-
0下载：
1_On the Dimensionality Reduction for Sparse Representation based
Face Recognition
2_Fingerprint Pore Matching based on Sparse Representation
3_Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and
Non-MA Dictionary
-
-
1下载：
稀疏表示分类算法在ORL人脸库上的实验，参考文章：
Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227.
-Sparse representation classification algo
-
-
0下载：
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
-
-
0下载：
基于线性最优化的人脸识别，基于稀疏表示的人脸识别，有中文注解。-Based on linear optimization recognition, face recognition based on sparse representation, have Chinese notes.
-
