Point Cloud Normalization
来源:互联网 发布:英语学习软件开发 编辑:程序博客网 时间:2024/05/01 21:32
//Normalization 1~1000
float maxValue=*max_element(features.begin(),features.end());
float minValue=*min_element(features.begin(),features.end());
for (int i = 0; i<(int)point.size();i++)
{
point[i].x=(n_max-n_min)*(point[i].x-minValue)/(maxValue-minValue+1e-8)+n_min;
point[i].y=(n_max-n_min)*(point[i].y-minValue)/(maxValue-minValue+1e-8)+n_min;
point[i].z=(n_max-n_min)*(point[i].z-minValue)/(maxValue-minValue+1e-8)+n_min;
}
float maxValue=*max_element(features.begin(),features.end());
float minValue=*min_element(features.begin(),features.end());
for (int i = 0; i<(int)point.size();i++)
{
point[i].x=(n_max-n_min)*(point[i].x-minValue)/(maxValue-minValue+1e-8)+n_min;
point[i].y=(n_max-n_min)*(point[i].y-minValue)/(maxValue-minValue+1e-8)+n_min;
point[i].z=(n_max-n_min)*(point[i].z-minValue)/(maxValue-minValue+1e-8)+n_min;
}
1 0
- Point Cloud Normalization
- point cloud concatenate
- Point cloud Library
- Visibility of Point Cloud
- DBSCAN聚类point cloud
- [Cloud Computing]Patterns: Dynamic Data Normalization
- PCL(Point Cloud Library)简介
- PCL (Point Cloud Library)笔记
- PCL 1.6--- point cloud viewer
- PCD(Point Cloud Data)文件格式
- PCL点云库(Point Cloud Library
- Compress--- The input point cloud
- Octree based Point Cloud Downsample
- big data point cloud read
- Pose Estimation using SfM point cloud
- 体感技术:Point Cloud Library
- [Point Cloud Library] 基本结构 PointCloud
- [Point Cloud Library] 显示点云
- 集合
- angularJS 自定义指令 方法属性:controller 和属性:controllerAs
- js 常用方法总结
- java关于post请求与get请求
- C++文件读写详解(ofstream,ifstream,fstream)
- Point Cloud Normalization
- 带有面板的框架代码示例
- Android中用到了哪些设计模式?
- 在 "E:\db\Custom\201610211635.bak" 上读取失败: 38(已到文件结尾。) (Microsoft SQL Server,错误: 3203)
- RxJava学习备忘
- android studio 提示"Gradle project sync failed."
- 实战 Lucene,第 1 部分: 初识 Lucene
- Android利用Fiddler进行网络数据 抓包
- 转-SIFT算法详解