Thoroughly understand the point cloud processing tutorial based on open3d!

Background introduction

Point cloud data is an important means of 3D perception , It has rich geometric and structural information , On autopilot 、 Topographic mapping 、 Industrial measurement and other fields have a wide range of applications . At the same time, point cloud data processing technology is also a hot research direction at present , And with the development of deep learning , The point cloud method combined with deep learning has great potential .

At present, there are many kinds of third-party libraries for point cloud , Such as PCL、CGAL etc. . These libraries are based on C++ Make implementation calls , However, it is difficult for beginners to master C++ Language , And the online information is uneven , Make a lot of people from getting started to giving up .Open3D yes 2018 Point cloud processing library developed in , Bottom based C++ Realization , Provide Python Language interface calls . Depending on Python Easy to learn features of ,Open3D The library is easy to use , It allows you to concentrate on algorithm research without worrying too much about programming skills . This course relies on Open3D Open source library , Focus on the practical application of point cloud data processing .

Course orientation

Basic tools for point cloud processing , Mainly with Python Is the main programming language , Introduce Open3D How to use the library . Course features are simple and easy to use , Quickly start point cloud data processing , More emphasis on actual combat , Topics covered include registration of point clouds 、 Denoise 、 sampling 、 Segmentation, etc , Each case provides source code for actual combat .

Syllabus

Face the crowd

1. The direction is the basic population in the field of point cloud data processing , Quick start Open3D Carry out practical application ;

2. Use python As the main programming language for point cloud data processing ;

3. Give consideration to C++ API An overview of , Easy to realize industrial landing ;

About Instructor

Li ZiKuan , Doctor of computer science and technology, Nanjing University of Aeronautics and Astronautics , Mainly engaged in laser radar data processing and Application Research . National scholarship winners , Many achievements have been SCI、EI Database Collection .

Li Hu , Senior 3D Visual algorithm engineer , Worked in a unicorn company in China , With rich practical experience .

The harvest after learning

1. Master the basic theory and method of point cloud data processing , Master common point cloud registration 、 Division 、 Clustering means ;

2. Quick start Python Programming , Cultivate and utilize Python Programming literacy for point cloud processing , Be able to analyze and implement algorithms independently ;

3. Each lesson provides code implementation and detailed comments , Provide a wealth of tools and wheels , It is convenient to expand and realize ;

course arrangement

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