<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[C_ROS的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/C_ROS</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; C_ROS]]></copyright><item><title><![CDATA[矩阵对角化对有什么作用（1）]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/103632453</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/103632453</guid><author>C_ROS</author><pubDate>Fri, 20 Dec 2019 14:51:11 +0800</pubDate><description><![CDATA[1可以从不同角度（简单角度）去描述复杂问题





2.计算

 
]]></description><category></category></item><item><title><![CDATA[相似矩阵理解]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/103632142</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/103632142</guid><author>C_ROS</author><pubDate>Fri, 20 Dec 2019 14:37:14 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[初接触Kinect v2]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/50487797</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/50487797</guid><author>C_ROS</author><pubDate>Sat, 09 Jan 2016 15:48:46 +0800</pubDate><description><![CDATA[KInect v2一共有6种数据源：
  


   






由上图可以知道:v2比v1多了source和reader这两步，取代v1的steam；
那么什么是source和reader呢？又有什么的作用啊
在Kinect2.0中，每个数据类型都有这三个类
|Source  源类


Reader


Frame


   
 
    
]]></description><category></category></item><item><title><![CDATA[Linux 的popen函数]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/50223449</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/50223449</guid><author>C_ROS</author><pubDate>Tue, 08 Dec 2015 20:09:05 +0800</pubDate><description><![CDATA[popen() 函数可以创建一个管道  
 函数popen要包含#include <stdio.h>头文件 popen函数   FILE *popen(const char *command, const char *type);
popen函数如果成功创建管道的话，就会返回一个文件文件描述符指针
第一个参数是命令 “例如 “ps -ef”” 
  第二个参数是管道的类型，是“r”读，还是“w”写]]></description><category></category></item><item><title><![CDATA[复习在ROS机器人系统中打开摄像头，显示图像]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/49886655</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/49886655</guid><author>C_ROS</author><pubDate>Tue, 17 Nov 2015 13:58:56 +0800</pubDate><description><![CDATA[在打开摄像头时候出现的错误：ERROR cannot launch node of type[uvc_cam/uvc_cam_node]............
只要是没有装ROS的摄像头的驱动。
在你工作空间文件下（随着系统文件.bashrc的启动而source）下
$ git clone https://github.com/ericperko/uvc_cam.git
还可以是sudo]]></description><category></category></item><item><title><![CDATA[TLD的源码整理总结工作—检测篇]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/48600057</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/48600057</guid><author>C_ROS</author><pubDate>Sun, 20 Sep 2015 19:43:13 +0800</pubDate><description><![CDATA[void TLD::detect(const cv::Mat& frame){
  //cleaning
  dbb.clear();
  dconf.clear();
  dt.bb.clear();
  double t = (double)getTickCount();
  Mat img(frame.rows,frame.cols,CV_8U);
  integral(fra]]></description><category></category></item><item><title><![CDATA[TLD的源码整理总结工作————准备篇]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/48599007</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/48599007</guid><author>C_ROS</author><pubDate>Sun, 20 Sep 2015 18:50:41 +0800</pubDate><description><![CDATA[TLD(Tracking-Learning-Detection)是英国萨里大学的一个捷克籍博士生Zdenek Kalal在其攻读博士学位期间提出的一种新的单目标长时间（long
 term tracking）跟踪算法。该算法与传统跟踪算法的显著区别在于将传统的跟踪算法和传统的检测算法相结合来解决被跟踪目标在被跟踪过程中发生的形变、部分遮挡等问题。同时，通过一种改进的在线学习机制不断更新跟踪模块的]]></description><category></category></item><item><title><![CDATA[摘记]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47909271</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47909271</guid><author>C_ROS</author><pubDate>Sun, 23 Aug 2015 19:45:18 +0800</pubDate><description><![CDATA[operator]]></description><category></category></item><item><title><![CDATA[Opencv  TLD VS2012]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47812931</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47812931</guid><author>C_ROS</author><pubDate>Thu, 20 Aug 2015 18:52:59 +0800</pubDate><description><![CDATA[opencv TLD]]></description><category></category></item><item><title><![CDATA[char数组如何强制转换为int类型]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47617941</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47617941</guid><author>C_ROS</author><pubDate>Thu, 13 Aug 2015 20:08:33 +0800</pubDate><description><![CDATA[char数组如何强制转换为int类型 
4个char数组，强制转换为1个int 
比如char数组，00000000,00000000,00000001,00000001 
转换为int后就是，00000000 00000000 00000001 00000001 = 257     char  Num[4]={1,1,0,0};    int  text;         memcpy(&text]]></description><category></category></item><item><title><![CDATA[opencv GPU HoughLines直线]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47312809</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47312809</guid><author>C_ROS</author><pubDate>Thu, 06 Aug 2015 10:33:12 +0800</pubDate><description><![CDATA[opencv GPU HoughLines直线]]></description><category></category></item><item><title><![CDATA[opencv GPU自带行人识别]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47302015</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47302015</guid><author>C_ROS</author><pubDate>Wed, 05 Aug 2015 19:18:29 +0800</pubDate><description><![CDATA[gpu 利用opencv自带的行人识别]]></description><category></category></item><item><title><![CDATA[opencv GPU函数]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47294215</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47294215</guid><author>C_ROS</author><pubDate>Wed, 05 Aug 2015 11:12:07 +0800</pubDate><description><![CDATA[opencv GPU函数]]></description><category></category></item><item><title><![CDATA[opencv 2.4.11 cuda5.5 总结]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/47281535</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/47281535</guid><author>C_ROS</author><pubDate>Tue, 04 Aug 2015 19:52:18 +0800</pubDate><description><![CDATA[opencv cuda gpu]]></description><category></category></item><item><title><![CDATA[cvCornerHarris角点检测]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/46523845</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/46523845</guid><author>C_ROS</author><pubDate>Tue, 16 Jun 2015 21:43:53 +0800</pubDate><description><![CDATA[cvCornerHarris角点检测]]></description><category></category></item><item><title><![CDATA[HoughLines2霍夫直线的提取]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/46507241</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/46507241</guid><author>C_ROS</author><pubDate>Mon, 15 Jun 2015 19:56:55 +0800</pubDate><description><![CDATA[cvHoughLines2
cvThreshold(src_gray,src_gray,100,255,0);
 cvCanny(src_gray,src_gray,100,255,3);]]></description><category></category></item><item><title><![CDATA[opencv图像canny和二值化化的轮廓提取，并求外接矩形，画圆等]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/46502625</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/46502625</guid><author>C_ROS</author><pubDate>Mon, 15 Jun 2015 13:10:03 +0800</pubDate><description><![CDATA[#include "iostream" 
#include "highgui.h"
#include "cv.h"
#include "cxcore.h"
#include 
#include "D:\Program Files\opencv\build\include\opencv2\core\core.hpp"
using namespace cv;
 CvBox2D  Box2]]></description><category></category></item><item><title><![CDATA[opencv的cvCvtColor问题]]></title><link>https://blog.youkuaiyun.com/C_ROS/article/details/46431877</link><guid>https://blog.youkuaiyun.com/C_ROS/article/details/46431877</guid><author>C_ROS</author><pubDate>Tue, 09 Jun 2015 21:21:32 +0800</pubDate><description><![CDATA[对于opencv的问题的
在编译程序的时候，老是发现出现vCvtColor错误的，在网上找了一些答案，但感觉都不对
          IplImage *src = cvLoadImage("88.jpg",0);  
 // printf("%d",src->depth);
   IplImage *src11 = cvCreateImage(cvGetSize(src),src->d]]></description><category></category></item></channel></rss>