搜索资源列表
RSC
- 这是一种基于稀释的人脸识别算法。这个算法能够有效的处理脸部遮挡问题。-Robust Sparse Coding for Face Recognition
AR_SKFA
- 在ar人脸库上的sparse kernel feature analysis程序，该程序挨个计算kernel空间鉴别向量，最后组成鉴别向量集进行分类-In the ar face database on the sparse kernel feature analysis program, which identified one by one calculation kernel space vector, the final set of vectors to classify the co
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
sgLasso
- 目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。-Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.
Centralized-Sparse-Representation
- Sparse Representation or Collaborative Representation Which Helps Face Recognition
FinalProject_rc2748
- 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
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.
Gabor-feature-based-SRC
- 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.
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
SRC_AR_showversion
- 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
LSL_SC
- 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
spgl1-1.8
- 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
robust sparse classification code
- 本matlab程序适用于论文Robust Sparse Coding for Face Recognition
Final_Face_recog
- 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
FaceRecognitionTool
- 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
gender
- Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In th
Sparse-Coding-for-Face-detection
- 基于sparse coding的人脸检测，很好的学习代码-face detection based on sparse coding!
SMRS_v1.0
- 稀疏人脸识别,来至论文Robust Face Recognition via Sparse Representation-Robust Face Recognition via Sparse Representation