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!
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