资源列表
MATLAB图像处理典例
- 《数字图像处理》中图像处理经典典例，很适合初学者用来学习(Classic example of image processing)
CarStreamTest
- 可分别对视频中的四个车道的车流数目进行统计 ，采用的的基于OpenCV+VC2008编程，车车辆识别采用背景差分法和邻帧检测法-Video can be respectively on the four lane number traffic statistics, the based on OpenCV+ VC2008 programming, the car vehicle identification adopted the background difference method and
1211image
- 数字图像处理+附带的各章例子图片+随书自定义的函数工具箱matlab源程序代码！！！初始数字图像处理领域的朋友们，还等什么，赶快的啊-Digital image processing+ pictures with examples of the various chapters of the book+ custom function with the toolbox matlab source code! ! ! The initial digital image processing fri
TrackingBlobAlgorithms
- This contained BG/FG detection(simple version and adaptive background mixture models), blob tracking(connected component tracking and MSPF resolver, mean shift, particle filter), Kalman filter using OpenCV. It can be helpful who studying object detec
sift
- 一个基于SIFT的图像处理的程序，是用MATLAB仿真实现的，绝对的好东西-SIFT-based image processing procedure is implemented using MATLAB simulation is absolutely a good thing
celestia-1.6.1.tar Celestia is an application for real-time 3D
- Celestia is an application for real-time 3D visualization of space, with a detailed model of the solar system, over 100,000 stars, more than 10,000 galaxies, and an extension mechanism for adding more objects.
FaceBasics-D2D
- 利用Kinect2 获取人脸部点云数据，学习人脸识别的可以看看，挺好用(Using Kinect2 to obtain human face point cloud data, learning face recognition can look at, very good use)
浅墨opencv
- CSDN浅墨大神出版的《opencv3编程入门》随书代码，包含几次更新的纠错PDF文件(CSDN light ink great God published "opencv3 programming portal" with the book code, contains several updates of the error correction PDF file)
DIP-Matlab-images
- 文件包含了数字图像处理Matlab版的所源图片.-File contains images of digital image processing Matlab version.
kalmanWithHaardetect
- 卡尔马滤波预测人脸区域。对该区域进行人脸检测。(Prediction of human face region by Calman filtering. Face detection is performed in the prediction region.)
RCPDemo
- 铁路列车运行图RCP程序，SWing与RCP结合-train graph rcp source code
TerrainModeling
- An ebook on Digital Terrain Modelling. It would be useful for those into Remote Sensing