Linux ROS与嵌入式的串口通信 is a project mainly written in , based on the .#include
相机标定 matlab opencv ROS三种方法标定步骤(1) is a project mainly written in , based on the .一 、 理解摄像机模型,网上有很多讲解的十分详细,在这里我只是记录我的整合出来的资料和我的部分理解 计算机视觉领域中常见的三个坐标系:图像坐标系,相机坐标系,世界坐标系,实际上就是要用矩阵来表 示各个坐标系下的转换,首先在图像坐标系下与相机坐标系的关系 &nbs...
运行ORB-SLAM笔记_使用篇(二) is a project mainly written in , based on the .#include
相机标定 matlab opencv ROS三种方法标定步骤(3) is a project mainly written in , based on the .三 , ROS 环境下 如何进行相机标定 刚开始做到的时候遇到一些问题没有记录下来,现在回头写的时候都是没有错误的结果了,首先使用ROS标定相机, 要知道如何查看节点之间的流程图 rosrun rqt_graph rqt_graph ,如何查看我们运行的节点 rosnode list, 查看运行的话题...
编译 ORB_SLAM2 (一) is a project mainly written in , based on the .sudo apt-get install libblas-dev sudo apt-get install liblapack-dev...
相机标定 matlab opencv ROS三种方法标定步骤(2) is a project mainly written in , based on the .#include
PCL中可用的PointT类型 is a project mainly written in , based on the .union { float data[4]; struct { float x; float y; float z; }; };...
图像处理_imgproc笔记(1) is a project mainly written in , based on the .#include
连接两个点云中的字段或数据形成新点云以及Opennni Grabber初识 is a project mainly written in , based on the .#include
从PCD文件写入和读取点云数据 is a project mainly written in , based on the .#include
PCL 可视化 is a project mainly written in , based on the .可视化(visualization)是利用计算机图形学和图像处理技术,将数据转换图像在屏幕上显示出来,并进行交互处理的的理论,方法和技术, pcl_visualization库建立了能够快速建立原型的目的和可视化算法对三维点云数据操作的结果。类似于opencv的highgui例程显示二维图像,在屏幕上绘制基本的二维图形,库提供了...
Kd-tree理论以及在PCL 中的代码的实现 is a project mainly written in , based on the .由于此例简单,数据维度只有2维,所以可以简单地给x,y两个方向轴编号为0,1,也即split={0,1}。...
基于octree的空间划分及搜索操作 is a project mainly written in , based on the .如果,有两类不同的样本数据,分别用蓝色的小正方形和红色的小三角形表示,而图正中间的那个绿色的圆所标示的数据则是待分类的数据。也就是说,现在, 我们不知道中间那个绿色的数据是从属于哪一类(蓝色小正方形or红色小三角形),下面,我们就要解决这个问题:给这个绿色的圆分类。 我们常说,物以类聚,人以群分,判别一个人是一个什么样品质特征的人,...
可视化深度图像 is a project mainly written in , based on the .#include
PCLVisualizer可视化类 is a project mainly written in , based on the .#include
PCL滤波介绍(2) is a project mainly written in , based on the .#include
PCL滤波介绍(1) is a project mainly written in , based on the .在获取点云数据时 ,由于设备精度,操作者经验环境因素带来的影响,以及电磁波的衍射特性,被测物体表面性质变化和数据拼接配准操作过程的影响,点云数据中讲不可避免的出现一些噪声。在点云处理流程中滤波处理作为预处理的第一步,对后续的影响比较大,只有在滤波预处理中将噪声点 ,离群点,孔洞,数据压缩等按照后续处理定制,才能够更好的进行配准,特征提...
PCL关键点(1) is a project mainly written in , based on the .关键点也称为兴趣点,它是2D图像或是3D点云或者曲面模型上,可以通过定义检测标准来获取的具有稳定性,区别性的点集,从技术上来说,关键点的数量相比于原始点云或图像的数据量减小很多,与局部特征描述子结合在一起,组成关键点描述子常用来形成原始数据的表示,而且不失代表性和描述性,从而加快了后续的识别,追踪等对数据的处理了速度,故而,关键点技术...
PCL采样一致性算法 is a project mainly written in , based on the .在计算机视觉领域广泛的使用各种不同的采样一致性参数估计算法用于排除错误的样本,样本不同对应的应用不同,例如剔除错误的配准点对,分割出处在模型上的点集,PCL中以随机采样一致性算法(RANSAC)为核心,同时实现了五种类似与随机采样一致形算法的随机参数估计算法,例如随机采样一致性算法(RANSAC)最大似然一致性算法(MLESAC),最...
PCL滤波介绍(3) is a project mainly written in , based on the .#include