3D Point Cloud Masterclass - Lidar - CloudCompare

3D Point Cloud Masterclass | Lidar | CloudCompare, available at $79.99, has an average rating of 4.42, with 28 lectures, 8 quizzes, based on 141 reviews, and has 729 subscribers.

You will learn about Understand 3d point clouds and their applications Use software CloudCompare for point cloud visualization, filtering, segmentation, and analysis Gain advanced skills in point cloud registration, fusion, exporting, and scripting. Extract useful information from point clouds with accurate segmentation, such as building footprints and tree locations. This course is ideal for individuals who are Professionals: This course is designed for professionals in fields such as construction, manufacturing, surveying, and architecture who want to learn how to use CloudCompare to process point cloud data for their projects. or Researchers and Students: The course is also suitable for researchers, students, and hobbyists interested in 3D scanning and processing, who want to learn both the basics and advanced techniques of point cloud processing. or Anyone Interested in Point Clouds: This course is suitable for anyone who is interested in learning how to process and analyze point cloud data using CloudCompare, regardless of their background or experience level. or Not designed for robotics and autonoumous driving specialists It is particularly useful for Professionals: This course is designed for professionals in fields such as construction, manufacturing, surveying, and architecture who want to learn how to use CloudCompare to process point cloud data for their projects. or Researchers and Students: The course is also suitable for researchers, students, and hobbyists interested in 3D scanning and processing, who want to learn both the basics and advanced techniques of point cloud processing. or Anyone Interested in Point Clouds: This course is suitable for anyone who is interested in learning how to process and analyze point cloud data using CloudCompare, regardless of their background or experience level. or Not designed for robotics and autonoumous driving specialists.

Enroll now: 3D Point Cloud Masterclass | Lidar | CloudCompare

Summary

Title: 3D Point Cloud Masterclass | Lidar | CloudCompare

Price: $79.99

Average Rating: 4.42

Number of Lectures: 28

Number of Quizzes: 8

Number of Published Lectures: 28

Number of Published Quizzes: 8

Number of Curriculum Items: 36

Number of Published Curriculum Objects: 36

Original Price: 49.99

Quality Status: approved

Status: Live

What You Will Learn

Understand 3d point clouds and their applications

Use software CloudCompare for point cloud visualization, filtering, segmentation, and analysis

Gain advanced skills in point cloud registration, fusion, exporting, and scripting.

Extract useful information from point clouds with accurate segmentation, such as building footprints and tree locations.

Who Should Attend

Professionals: This course is designed for professionals in fields such as construction, manufacturing, surveying, and architecture who want to learn how to use CloudCompare to process point cloud data for their projects.

Researchers and Students: The course is also suitable for researchers, students, and hobbyists interested in 3D scanning and processing, who want to learn both the basics and advanced techniques of point cloud processing.

Anyone Interested in Point Clouds: This course is suitable for anyone who is interested in learning how to process and analyze point cloud data using CloudCompare, regardless of their background or experience level.

Not designed for robotics and autonoumous driving specialists

Target Audiences

Professionals: This course is designed for professionals in fields such as construction, manufacturing, surveying, and architecture who want to learn how to use CloudCompare to process point cloud data for their projects.

Researchers and Students: The course is also suitable for researchers, students, and hobbyists interested in 3D scanning and processing, who want to learn both the basics and advanced techniques of point cloud processing.

Anyone Interested in Point Clouds: This course is suitable for anyone who is interested in learning how to process and analyze point cloud data using CloudCompare, regardless of their background or experience level.

Not designed for robotics and autonoumous driving specialists

This comprehensive course on CloudCompare will take you from the basics to advanced techniques of processing point cloud data. With over 8 hours of content, you’ll learn the key skills needed to analyze, visualize, filter, segment, colorize, animate, and mesh point clouds using CloudCompare. Whether you’re a professional in the fields of surveying, engineering, or geomatics, or just someone interested in 3D data processing, this course is for you.

The course is designed to be hands-on, with practical activities after each section allowing you to immediately apply what you’ve learned. There are also quizzes to test your knowledge and reinforce your learning. By the end of the course, you’ll have completed a final project of processing a real-world point cloud dataset, giving you the confidence to tackle your own projects.

The instructor, a highly experienced geomatics engineer, uses real-world examples and case studies to illustrate the concepts and techniques. You’ll also gain insights into best practices and future trends in point cloud processing.

By enrolling in this course, you’ll have lifetime access to the content, as well as any future updates. You’ll also be able to join a community of learners and get support from the instructor and other students. So why wait? Enroll today and take your skills in point cloud processing to the next level.

Course Curriculum

Chapter 1: INTRODUCTION

Lecture 1: Course content

Lecture 2: Introduction to 3D Point Clouds

Lecture 3: Introduction to CloudCompare

Chapter 2: VISUALISATION

Lecture 1: Activate the 1080 HD

Lecture 2: Download CC and User Interface

Lecture 3: LiDAR data sources | open files

Lecture 4: Navigation and display

Lecture 5: Supported entities in CC

Lecture 6: Useful shrotcuts

Lecture 7: Coordinate System Challenges in CloudCompare

Chapter 3: ANALYSIS

Lecture 1: 3D Point Cloud Tiling

Lecture 2: 3D Point Cloud Subsampling

Lecture 3: 3D Point Cloud Filtering

Lecture 4: From Raster to Point Cloud

Lecture 5: Create DSM, DTM, nDSM and Contours

Lecture 6: Profiles and Sections Extraction

Lecture 7: Volume Calculation

Chapter 4: REGISTRATION

Lecture 1: Registration using ICP

Lecture 2: Registration using control points

Chapter 5: SEGMENTATION

Lecture 1: Clustering Using Connected Components

Lecture 2: Individual-Tree Isolation from Terrestrial Laser Scanning

Chapter 6: CLASSIFICATION

Lecture 1: CANUPO Binary Classification

Chapter 7: MESHING

Lecture 1: Point Cloud Meshing

Lecture 2: Mesh Ambient Shadow

Lecture 3: Animation and Rendering

Chapter 8: CHANGE DETECTION

Lecture 1: Cloud to Cloud

Chapter 9: WORKFLOWS AUTOMATION

Lecture 1: Command Line for CC

Lecture 2: Batch Process in .bat

Chapter 10: FINAL QUIZ

Instructors

Abderrazzaq Kharroubi
Surveyor engineer and PhD student

Rating Distribution

1 stars: 0 votes

2 stars: 5 votes

3 stars: 8 votes

4 stars: 51 votes

5 stars: 77 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!