资源列表
calibration
- open cv 实现摄像机标定，经验证可以实现-open cv achieve camera calibration, proven can be achieved
ViewMoprhing
- 双目视点融合,利用两个视点的图像造出中间视点的图像来.-View Morphing
FaceDetection-0303
- 基于opencv的脸部特征识别工程，是在vs2010下进行的开发-Opencv based facial feature recognition project is carried out under development in vs2010
Watershed1
- 分水岭算法的实现。在他人算法上修改，主要是添加了从图像到矩阵的转换使得程序可以运行并查看结果-Watershed algorithm. Algorithmic modifications in others, mainly from the image added to the matrix conversion makes the program can run and view the results
mexopencv-master
- opencv函数用matlab实现接口，快速运行,方便使用matlab做机器视觉的研究-opencv, compution vision, matlab
MeanShift-Kalman-tracking-algorithm
- 结合kalman滤波的meanshift跟踪算法，meanshift算法是一种经典的均值漂移跟踪算法，采用颜色直方图作为跟踪特征，具有很高的稳定性和鲁棒性，kalman滤波是一种线性滤波预测算法。在meanshift算法中引入kalman滤波，可以提高算法的稳定性，同时提高算法执行效率。代码中除了avi格式视频读取采用opencv库函数外，核心算法均为纯C++实现，注释详细，很容易理解，同时具有很高的参考价值。 -Meanshift kalman filtering combined track
LearningOpenCV_Code
- Learning OpenCV书籍源代码-The source code of the book 《Learning OpenCv》
lucas-kanade
- Lucas-Kanade算法用于求稠密光流的，只需要每个感兴趣点周围小窗口的局部信息-Lucas-Kanade optical flow algorithm is used to find the dense and requires only a small window around each point of interest local information
Zernike
- C++ Zernike Moments implementation using OpenCV
cvsurf
- surf算法。opencv编程，可以用于目标特征检测、图像匹配等多方面应用-surf algorithms. opencv programming feature can be used for target detection, image matching, and many other applications
ustc_image_exp
- 图像处理课程的实验内容，包括四个小实验，实验1图像的点处理 实验2 图像的平滑 实验3 图像的边缘检测 实验4 FOURIER变换 包括最后的实验报告-Image Processing courses of experiments, including four small experiments a point image processing image smoothing Experiment 2 Experiment 3 image edge detection experiment 4
Filter
- 用C++语言写的图像过滤，实现了中值过滤、最大值最小值过滤、均值过滤等，扩展性较好，能实现不同通道-With C++ language image filtering, to achieve a median filtering, maximum minimum filtering, mean filtering, scalability, better able to achieve different channels