资源列表
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!
gaussian
- 本程序使用opencv库实现了对图像进行高斯平滑处理，可以通过调整路比起的大小来控制模糊程度-The program uses opencv library implementation blurs the image Gaussian smoothing process can be controlled by adjusting the road compared to the size of the
testStereoCamera
- opencv采集双目摄像机，注意：xp系统和win7系统摄像机索引号会不同，因此很多资料中的方法在win7中实现不了，需要改索引。-opencv stereo camera
Parralax
- 运用双目摄像头获取左右图像，得到致密性视差图-Get around using binocular camera images to obtain a dense disparity map
The-frame-of-image
- 打开一段视频，获取每一帧图像，可以自由设置获取几帧。-Open a video, get each frame, get a few frames can be freely set.
turn--picture-video
- 运用Opencv，输入n帧图像，可以转换为一段avi格式的视频，可以控制视频的帧率。-Use Opencv, enter n frames, it can be converted to avi video format section, you can control the video frame rate.
optical-flow-
- opencv中高斯金字塔光流法，可以得到物体运动时的光流图像-opencv Gaussian pyramid optical flow method, optical flow image of the object can be obtained during exercise