资源列表
harris
- VS2012+OpenCV2.4.8中实现Harris角点检测，包括cornerHarris函数的使用方法-OpenCV Harris corner detection, including the use of cornerHarris function method
hough
- vs2012+OpenCV2.4.8中关于霍夫变换的应用，包括实现霍夫圆变换的HoughCircles函数的使用方法-Application of Hof transform in vs2012+OpenCV2.4.8, using the HoughCircles function method including the circle Hough transform
line
- 基于vs2012+OpenCV2.4.8中实现霍夫线变换，HoughLines、HoughLinesP函数的使用方法-Implementation of the Hof line transform, HoughLinesP, HoughLines function based on vs2012+OpenCV2.4.8
libfacedetection-master
- 免费、高性能的人脸检测库.这个库比OpenCV自带的人脸检测强大一个数量级！纯C语言生成的二进制库，不依赖任何其他的库。接口更简洁，就一个函数。-Free, high-performance face detection library. This library than OpenCV face detection comes a powerful magnitude! Pure C language generated binaries, do not rely on any other l
intergal_example
- 在计算Haar-like特征时，积分图的思路所呈现出来的熟读优势更加明显。-In calculating the Haar-like features, integral image of the presentation of the familiar idea of the more obvious advantages
Moving-Object-Detection
- 车牌运动目标检测。该代码已调试，相对于其他算法，具有一定的优势。-License plate moving target detection. The code has been debugging, compared to other algorithms have certain advantages.
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
Adaboost
- Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器-Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), and then set up these weak classifiers to form a stronger
videoprocessing
- 基于OpenCV的视频处理源代码，读取视频序列，处理视频帧。-Reading Video Sequences Processing the Video Frames Writing Video Sequences
racking-Feature-Points-in-Video
- 基于OpenCV，对视频中的特征点进行提取，并跟踪。-Tracking Feature Points in Video
Extracting-the-Foreground-
- 基于opencv，对视频中的前景进行提取-Extracting the Foreground Objects in Video
edge
- 实现图片的边缘检测，并且可以改变边缘检测的阈值。能直接运行！-The brink of achieving detection, and can change the threshold edge detection. It can be run directly!