资源列表
Automatic-Recognition-Hausdorff
- 一篇介绍图像识别中基于Hausdorff 距离的行人 步态自动识别方法的学术论文.-The article on image recognition based on Hausdorff distance of pedestrian gait Automatic identification papers.
echoMagic
- 从杂乱的超声波心电图序列图像中提取出心内膜的位置，实现心内膜的自动识别。采用了optical flow等图像识别算法，供医疗仪器开发人员和图像识别研发人员参考-This is a c++ code under Linux platform for Echocardiographic Contour Extraction from echo images.The extraction method include optical flow and GVF.The code is good for
MAT
- SAR图像的lee滤波，滤除斑的噪声，大家可以试试，效果还可以。-Lee filtering of SAR images to filter out the noise of the spot, we can try the effect can be.
Fuzzy-edge-detection
- edge detection with fuzzy that modify by Reza Maleki. it can delete some noise and blonder in edge detection.it is more use full than canny and other Matlab codes.
CODEpcaexpressprot
- Facial Expression Recognition System
letterrecognization
- 简单的字母识别，识别A、B。只能进行平移和旋转，不能识别缩放！-Simple letter recognition, identification A, B,. The only translation and rotation, does not recognize the Zoom!
SOURCEhybirisprot
- Hybrid Iris Recognition
visualAssistX
- 非常好的vc插件，自动识别各种关键字，系统函数，成员变量，自动给出输入提示，自动更正大小写错误，自动标示错误，等等啦……支持VC++ 6, VC++ 5 andVC 3!-Very good vc plug-in, automatic identification of keywords, system functions, member variables, automatic input prompt is given, and automatically corrects capitali
Fusion-2dPCALDA-(2010)
- This paper proposes an efficient face representation and recognition method, which combines the both information between rows and those between columns from two-directional 2DPCA on fusion face image and the optimal discriminative information from
[7---2002]-Solving-the-small-sample-size-problem-
- The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix S,? in Linear Discriminant Analysis (LDA). Dijjrent methods have been proposed la solve this problem in face
[16---2011]---local-binary-LDA-for-FaceR
- Extracting discriminatory features from images is a crucial task for biometric recognition. For this reason, we have developed a new method for the extraction of features from images that we have called local binary linear discriminant analysis (LB
[15---2011]---A-new-Rearrange-Modular-2D-LDA-for-
- This document describes the new approach of 2d-lda for face recognition.