<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[libocao的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/libocao</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; libocao]]></copyright><item><title><![CDATA[PCL库点云曲面拟合代码]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/103052075</link><guid>https://blog.youkuaiyun.com/libocao/article/details/103052075</guid><author>libocao</author><pubDate>Wed, 13 Nov 2019 16:42:25 +0800</pubDate><description><![CDATA[#include &lt;pcl/point_types.h&gt;
#include &lt;pcl/io/pcd_io.h&gt;
#include &lt;pcl/kdtree/kdtree_flann.h&gt;
#include &lt;pcl/features/normal_3d.h&gt;
#include &lt;pcl/surface/gp3.h&gt;
#include &l...]]></description><category></category></item><item><title><![CDATA[将ply格式转化为pcd格式]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/103051972</link><guid>https://blog.youkuaiyun.com/libocao/article/details/103051972</guid><author>libocao</author><pubDate>Wed, 13 Nov 2019 16:39:53 +0800</pubDate><description><![CDATA[大部分点云数据格式都是ply，为了便于在pcl中进行处理，要先将其转换为pcd格式。


#include &lt;iostream&gt;
#include &lt;pcl/common/io.h&gt;
#include &lt;pcl/point_cloud.h&gt;
#include &lt;pcl/point_types.h&gt;
#include &lt;pcl/PolygonMe...]]></description><category></category></item><item><title><![CDATA[Event Camera动态视觉传感器，让无人机用相机低成本进行导航]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/90201141</link><guid>https://blog.youkuaiyun.com/libocao/article/details/90201141</guid><author>libocao</author><pubDate>Tue, 14 May 2019 10:24:56 +0800</pubDate><description><![CDATA[几年前，苏黎世大学的Davide Scaramuzza实验室为我们带来了一种动态视觉传感器——Event Camera。Event camera与普通照相机有很大的差别，它对于小巧迅捷的机器人是十分理想的，尤其当你更考虑减小碰撞的几率而非清晰拍摄事物的时候。

    无人机自主导航成本最低的方法是使用相机。在这一点上，相机的成本几乎是零。非常重要的是如果你将相机与IMU融...]]></description><category></category></item><item><title><![CDATA[初试OpenFace做人脸图像对比]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/89600116</link><guid>https://blog.youkuaiyun.com/libocao/article/details/89600116</guid><author>libocao</author><pubDate>Sun, 28 Apr 2019 16:36:21 +0800</pubDate><description><![CDATA[一.安装python

二.安装git


sudo apt-get install git

三.安装c++标准库


sudo apt-get install libboost-dev
sudo apt-get install libboost-python-dev

四.下载OpenFace代码


git clone https://github.com/cmusatyalab/openf...]]></description><category></category></item><item><title><![CDATA[vim安装插件使vim自动补全安装]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/89499441</link><guid>https://blog.youkuaiyun.com/libocao/article/details/89499441</guid><author>libocao</author><pubDate>Wed, 24 Apr 2019 17:48:30 +0800</pubDate><description><![CDATA[一.自动安装

打开终端：


wget https://raw.github.com/ma6174/vim/master/setup.sh -O ma6174_vim_setup.sh &amp;&amp; bash ma6174_vim_setup.sh

二.按自己喜好设置

打开终端：


vim ～/.vimrc

修改里面参数，按自己心情改参数

建议参数：


set sw=4
se...]]></description><category></category></item><item><title><![CDATA[小觅魔方安装MYNT-EYE-ORB-SLAM2-Sample测试]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/89219130</link><guid>https://blog.youkuaiyun.com/libocao/article/details/89219130</guid><author>libocao</author><pubDate>Thu, 11 Apr 2019 20:30:23 +0800</pubDate><description><![CDATA[一.安装依赖项

1.安装必要工具


sudo apt-get install cmake


sudo apt-get install git

2.安装Pangolin


sudo apt-get install libglew-dev
sudo apt-get install libpython2.7-dev
git clone https://github.com/stevenlove...]]></description><category></category></item><item><title><![CDATA[ubuntu16.04安装RGBD-SLAM V2运行]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/89207403</link><guid>https://blog.youkuaiyun.com/libocao/article/details/89207403</guid><author>libocao</author><pubDate>Thu, 11 Apr 2019 13:40:54 +0800</pubDate><description><![CDATA[一.建立rgbdslam_ws空间


$ cd ~/rgbdslam_ws/src 
$ cd rgbdslam_ws 
$ catkin_make 
$ source devel/setup.bash 

二.下载并安装PCL1.8 EIGEN3.0 G20

1.下载安装PCL1.8


$ cd ~/rgbdslam_vs/src
$ wget https://github.com/...]]></description><category></category></item><item><title><![CDATA[ubuntu16.04安装 kinectV2 驱动，配置ROS下驱动]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/89164740</link><guid>https://blog.youkuaiyun.com/libocao/article/details/89164740</guid><author>libocao</author><pubDate>Tue, 09 Apr 2019 22:46:45 +0800</pubDate><description><![CDATA[一.安装libfreenect2


第一步安装libfreenect2驱动
 
libfreenect2: https://github.com/OpenKinect/libfreenect2
 
git clone https://github.com/OpenKinect/libfreenect2.git
 
cd libfreenect2
 
sudo apt-get install...]]></description><category></category></item><item><title><![CDATA[ubuntu16.04安装ros-kinetic教程]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/89153572</link><guid>https://blog.youkuaiyun.com/libocao/article/details/89153572</guid><author>libocao</author><pubDate>Tue, 09 Apr 2019 16:44:52 +0800</pubDate><description><![CDATA[一.添加ROS源，设置sources.list


sudo sh -c 'echo "deb http://packages.ros.org/ros/ubuntu $(lsb_release -sc) main" &gt; /etc/apt/sources.list.d/ros-latest.list'

二.设置Key


sudo apt-key adv --keyserver hkp://...]]></description><category></category></item><item><title><![CDATA[简述Prewitt、Sobel、Laplacian算子提取图像边缘方法及原理]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/88977687</link><guid>https://blog.youkuaiyun.com/libocao/article/details/88977687</guid><author>libocao</author><pubDate>Tue, 02 Apr 2019 18:01:17 +0800</pubDate><description><![CDATA[一、算子简介
  在一维连续数集上有函数f(x),我们可以通过求导获得该函数在任一点的斜率，根据导数的定义有：

  在二维连续数集上有函数f(x,y),我们也可以通过求导获得该函数在x和y分量的偏导数，根据定义有：

二、Prewitt算子和Sobel算子
  Prewitt算子是一种一阶微分算子的边缘检测，利用像素点上下、左右邻点的灰度差，在边缘处达到极值检测边缘，去掉部分伪边缘，对噪声具有平...]]></description><category></category></item><item><title><![CDATA[sobel算子原理与实践]]></title><link>https://blog.youkuaiyun.com/libocao/article/details/88958239</link><guid>https://blog.youkuaiyun.com/libocao/article/details/88958239</guid><author>libocao</author><pubDate>Mon, 01 Apr 2019 22:21:03 +0800</pubDate><description><![CDATA[索贝尔算子（Sobeloperator）主要用于获得数字图像的一阶梯度，是一种离散性差分算子。它是prewitt算子的改进形式，改进之处在于sobel算子认为，邻域的像素对当前像素产生的影响不是等价的，所以距离不同的像素具有不同的权值，对算子结果产生的影响也不同。一般来说，距离越远，产生的影响越小。

   图像处理中认为，灰度值变化剧烈的地方就是边缘。那么如何判断灰度值变化...]]></description><category></category></item></channel></rss>