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三维点云数据处理

3d-objectdetection-and-pose-estimation

3D目标检测与位姿估计学习笔记

3d-pointcloud-denoising

【点云滤波】A paper list of 3D Point Cloud Denoising

3d-sis

[CVPR'19] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

3d-slam-multiple-robot-platforms

多平台搭建SLAM系统，包括(轮式底盘、四足机器人、无人机、无人船、轮腿式机器人等)，复现3D-SLAM开源算法，如：LEGO-LOAM、LIO-SAM、LVI-SAM、FAST-LIO、R2LIVE、R3LIVE等~

3d_ground_segmentation

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

3d_reconstruction

3D reconstruction of a scene from a sequence of RGB and depth images in Matlab

3d_urban_mesh_annotator

【大规模曲面重建】

3d_wall_slam

3dline-slam

3DLines-SLAM: A Monocular Vision Semi-Dense 3D Reconstruction Based on ORB-SLAM Abstract-Producing high-quality 3D maps and calculating more accurate camera pose has always been the goal of SLAM technology. The requirements of SLAM technology such as real-time, low computational cost, and low hardware cost are contradictory to the above objectives. For the issues listed above, we propose a novel semi-dense reconstruction algorithm based on the monocular ORB-SLAM system by matching the line segment features extracted from keyframes. Specifically, we build upon ORB-SLAM, the system first provides a set of keyframes and their corresponding camera poses and a series of map points in real-time. Then we use our developed a keyframe re-culling algorithm to culling redundant keyframes. Then an improved line segment extraction method is used to extract line segments in each keyframe. Finally, we use purely geometric constraints to generates accurate 3D scene model by matching 2D line segments from different keyframes. We thoroughly evaluate and in-depth analysis of our approach, the results show our system runs steadily and reliably. Not only the whole system has strong robustness, but also it can quickly generate an accurate 3d model online with low computational costs.

3dlinedetection

【目标检测】A simple and efficient 3D line detection algorithm for large scale unorganized point cloud

3dmapslam

Creating a segmented 3D octomap of the surroundings using ORB-SLAM3, with the possibility of removing or adding specific segmented objects to the octomap.

3dmatch-toolbox

【3D特征点匹配】3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

3dsmoothnet

【点云拼接】[CVPR19] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

3dunderworld-sls-gpu_cpu

【3维结构光1】A structured light scanner

3dunderworld-structured-light-scanner

[3DUNDERWORLD-SLS] High-accuracy Structured-Light Scanner.

3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

3dworld

3D Procedural Game Engine Using OpenGL

3pu

Patch-base progressive 3D Point Set Upsampling

aabbcc

Dynamic AABB trees in C++ with support for periodic systems.

acconeer-python-exploration

Acconeer Python Exploration Tool

acm-icpc-algorithms

Algorithms used in Competitive Programming

advanced-cpp-programming-cookbook

Advanced C++ Programming CookBook, published by Packt

advanced-deep-learning-with-keras

【深度学习书籍】 Advanced Deep Learning with Keras, published by Packt

adventures_in_opencl

【opencl学习教程】A tutorial series for learning OpenCL

aerial_mapper

【三维重建】Real-time Dense Point Cloud, Digital Surface Map (DSM) and (Ortho-)Mosaic Generation for UAVs

aivs-project

【点云间化下采样】Approximate Intrinsic Voxel Structure for Point Cloud Simplification

algorithms

全面的算法代码库

alicevision

【3维重建软件+算法】Photogrammetric Computer Vision Framework

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System