搜索资源列表
Labeling
- 对于二值图像进行labeling,求的对象个数，每个对象的像素数，中心点，长宽高矮值等-labeling for bianry image
connect
- 对图片以及视频帧进行连通域提取，环境需要opencv vs2005，必要的配置，连通域的算法是基于递归的二值图像标记算法。-Frame of the picture, and video connectivity components extraction, environmental needs opencv vs2005, the necessary configuration, connected components algorithm is based on the recursive
face-recgnition
- 利用OpenCV进行人脸检测，人脸检测程序主要完成3部分功能，即加载分类器、加载待检测图象以及检测并标示。-OpenCV for face detection, face detection process was completed for the three parts, namely load classifier, load to be detected images and testing and labeling.
videolabel
- 视频标注工具，具体可参见我的博客：http://blog.csdn.net/xiaowei_cqu/article/details/8778976-Tools for labeling video (coded with opencv 2.4). See my blog: http://blog.csdn.net/xiaowei_cqu/article/details/8778976
xx
- 面部识别，基于opencv的，用于检测人面部并标注的程序，准确性高。-Facial Recognition，based on the opencv program for detection of human faces and labeling, high accuracy.
labe_forOpencv
- .c++连通区域标记算法2，功能和matlab 中的 bwlabel相似，用opencv 编写-.c++ connected component labeling algorithm 2, function and MATLAB similar to the bwlabel, prepared by opencv
fingerstack
- 在VS2010上，通过调用opencv库，进行手势的识别和标记-On VS2010, by calling the opencv library, gesture recognition and labeling
learning-opencv-camera
- Learning OpenCV中相机检测和标注部分源码-Learning OpenCV in camera inspection and labeling some source code
clustering
- 使用种子法实现基于opencv和vs2013的连通区域标记-Realization and connected component labeling based opencv use vs2013 Seed Law