资源列表
gmm
- EM算法以及混合高斯模型，c++实现，控制台程序，函数调用很简单方便。可以在低版本vc6.0运行。-EM algorithm and hybrid Gauss model, c++ implementation, the console program, function call is very simple and convenient. Can be run at low vc6.0.
spt_v2.4
- 大连理工大学卢湖川教授团队显著性检测方法5-Robust Superpixel Tracking, IEEE Transaction on Image Processing
Code_v1
- 大连理工大学卢湖川教授团队显著性检测方法4-Visual Tracking via Probability Continuous Outlier Model
BFS_Codes
- 大连理工大学卢湖川教授团队显著性检测方法3-Saliency Detection via Background and Foreground Seed Selection
code
- 大连理工大学卢湖川教授团队完成的显著性检测方法2-CVPR-Cellular Automata_Chinese
code-BL
- 大连理工大学卢湖川教授团队写的显著性检测的方法-Salient Object Detection via Bootstrap Learning
FlannBasedMatcher
- 使用FLANN进行特征点匹配,利用SURF检测器检测的关键点，绘制出符合条件的匹配点 -The key point of the feature point matching using FLANN using SURF detector, the draw qualifying match point
shenjingwangluo
- 基于matlaB的bp神经网络代码，可以用-bp NET
FLANN_and_SURF
- 检测Surf关键点、提取训练图像描述符,创建基于FLANN的描述符匹配对象-To check surf key points extracted image descr iptor training, create the descr iptor-based matching objects FLANN
SurfFeatureDetector
- 调用detect函数检测出SURF特征关键点，保存在vector容器中,绘制特征关键点 -Call detect function detects the SURF feature key stored in vector container, drawing feature key points
SurfDescriptorExtractor
- 本代码实现了利用SURF算法进行特征描述，找出图像中的角点。-This code implements characterization, figure out the image of the corner by using SURF algorithm .
numberRecognition
- 基础bp神经网络的数字识别，用matlad来进行编译-bp shuzishibie