资源列表
calib_cvut
- 张正友标定法标定摄像头内参，使用cvut工具箱，opencv-zhang s calibration method ，cvut，opencv
lkdemo
- 光流法源码，实现lkdemo的实例程序并对每一帧画面都进行特征点检测。-Optical flow source to achieve lkdemo example program and each frame is the feature point detection.
vc-imageprocessing
- 数字图像处理，里面包含很多c++算法，适合初学opencv，包括图像融合、图像分割、图像拼接-Digital image processing, which contains a lot of c++ algorithm, suitable for beginners opencv, including image fusion, image segmentation, image stitching
TEST
- 一些图像处理用的简单程序 OPENCV 图像处理-Some simple procedure of image processing OPENCV image processing
Camera-calibration-method
- 基于OpenCV的视觉测量技术中摄像机标定方法详解-Visual measuring technique of camera calibration method based on OpenCV explanation
sift
- sift图像特征提取 vs2010+opencv2.2 如果想搞清原理，请参照如下内容： http://blog.csdn.net/zddmail/article/details/7521424 -sift image feature extraction vs2010+ opencv2.2 If you want to find out the principles, please refer to the following: http://blog.csdn.net/z
6bd0e1629f2d
- 车辆检测，利用高斯滤波后对图像进行灰度及二值化，最后利用团块跟踪进行车辆的检测。-Vehicle detection, after the image using the Gaussian filter and binarizing the gray, and finally the use of briquettes tracing the vehicle is detected.
OpenCV_VS2010
- OpenCV 是一个功能强大的计算机视觉库，要用好它，除了要具有相关的计 算机视觉理论知识外，还需要具有一定的编程能力。本书作者通过对 OpenCV 中 文论坛中的大量问题观察，发现有很大比例的问题是因为用户对 C/C++语言不熟 练，导致出错， 或出错后不知如何解决。如果对 C/C++语言不熟悉，那使用 OpenCV 时会满头雾水瞎摸索，费心费力。 在这一章中，将介绍一些编程的基本概念， 让读者对编程的流程有一个基本 了解。这样在出现错误时，可以快速确定错误的类型，并知
OpenCV_CL
- opencv 自学材料有很多C语言版本的例子-There are a lot of self-study materials opencv C language version of the example
stitching_detail
- stitching_detail功能的讲解和代码实例-The stitching_detail function explanation and code examples
OpenCVAdaboost__
- 目前支持这种分类器的boosting技术有四种： Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost。-Currently support this classifier boosting technology, there are four: Discrete Adaboost, Real Adaboost, Gentle Adaboost and Logitboost.
Harris_Good_Features_to_Track
- Harris角点检测基本思想从图像局部的小窗口观察图像特征角点定义窗口向任意方向的移动都导致图像灰度的明显变化 - Observation of local image features the image widget Mobile corners definition window in any directi