yzn9961 / RGBD2PointCloud
一个将Astra pro深度相机采集到的图像信息转换为三维点云的简单项目。项目中同时包括了Astra Pro RGBD相机标定、图像&视频采集的代码。A simple demon to convert the Depth&RGB information capture by Astra pro camera into 3D point cloud. (Photo&video capture and camera calibration code are also included)
☆31Updated 3 years ago
Alternatives and similar repositories for RGBD2PointCloud:
Users that are interested in RGBD2PointCloud are comparing it to the libraries listed below
- 实现了双目立体视觉标定(畸变与极线矫正)、深度图计算、获取像素点的空间坐标、三维点云显示。a simple demon of constructing a 3D pointcloud using stereo camera and it's depth map☆45Updated 3 years ago
- This project accomplishes the task of 3D reconstruction based on binocular stereo vision. It realizes the entire process from camera cali…☆25Updated last year
- 通过 Intel RealSense 设备获取2D图像、3D点云等原始数据。已在Intel RealSense depth camera D435i, D435, D415等设备上测试。☆55Updated 4 years ago
- A toolkit for monocular/binocular camera (self-)calibration and rectification.☆55Updated 3 years ago
- 相机内参标定和双目标定, 支持多种相机模型和多种标定板,☆133Updated 3 years ago
- Camera Laser Calibrate python version☆32Updated 3 years ago
- 1.相机模型标定(鱼眼相机,普通相机);2.立体相机标定与极线矫正;3.RGB(/灰度)相机与深度相机(tof)标定,数据融合;4.外参标定☆39Updated 10 months ago
- 使用Surf特征对图像进行特征检测,RANSAC剔除误匹配,对两帧RGBD数据进行点云配准☆40Updated 6 years ago
- normal, fisheye, mono, stereo camera calibration☆48Updated 4 years ago
- 学习《 三维点云分析》的课后习题代码☆78Updated 4 years ago
- STDyn-SLAM: A Stereo Vision and Semantic Segmentation Approach for SLAM in Dynamic Outdoor Environments☆65Updated 3 years ago
- 睿慕课三维点云处理课程作业代码☆89Updated 4 years ago
- ☆28Updated 3 years ago
- Personal notes of ROS usage☆49Updated 5 years ago
- This repo contains source code of our paper presented in IROS2021 "Single-Shot is Enough: Panoramic Infrastructure Based Calibration of M…☆167Updated 2 years ago
- 这是一个基于CUDA加速的SGM立体匹配代码,它的核心是SemiglobalMatching(SGM)算法,它不仅在时间效率上要远远优于基于CPU的常规SGM,而且明显占用更少的内存,这意味着它不仅可以在较低分辨率(百万级)图像上达到实时的帧率,且完全具备处理千万级甚至更高…☆63Updated 10 months ago
- 实现Ransac随机采样算法分割地面点云☆35Updated 3 years ago
- OpenCV-Python 双目相机标定和立体匹配☆19Updated 3 years ago
- Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.☆52Updated 3 years ago
- 在阅读ORB_SLAM3的过程中进行的注释,与ORB_SLAM2近似的部分采用了SLAM研习社的注释https://github.com/electech6/ORBSLAM2_detailed_comments☆114Updated 3 years ago
- 奥比中光 3D 视觉创新应用竞赛-轻量化、松耦合的手持 RGB-D 室内环境实时重建系统 Lightweight and loosely coupled handheld rgb-d sensor real-time indoor environment reconstr…☆42Updated 4 years ago
- A Platform for LiDAR-Camera Fusion☆97Updated 2 years ago
- Python implementation of Binary Search Tree, kd-tree for tree building, kNN search, fixed-radius search.☆109Updated 4 years ago
- 视觉SLAM笔记例程☆16Updated 5 years ago
- ☆183Updated 9 months ago
- PEAC(Plane Extraction using Agglomerative Clustering) is a fast plane segmentation algorithm for organized point cloud. This is a fork of…☆62Updated 7 years ago
- This project is divided in two parts: the Python part, classifies point clouds with PointNet architecture and the C++ part, extracts and …☆46Updated 4 years ago
- c++ detail implementation of camera calibration☆59Updated 4 years ago
- ☆178Updated 11 months ago
- Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)☆172Updated 2 years ago