Computer Vision for Student Competitions: Point Cloud

Version 1.0.0.0 (4.99 MB) by MathWorks Student Competitions Team
Point Cloud (Chapter 10) : Computer Vision Training for Student Competition Teams
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Updated 23 Mar 2017
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Learn how to read, load and visualize point clouds using MATLAB and pre-process the data by down sampling and de-noising. You will also learn how to apply affine transforms like translation and rotation. Finally, you will learn how to fit point clouds to geometric shapes and how to extract a region of interest from images using point clouds.

Cite As

MathWorks Student Competitions Team (2026). Computer Vision for Student Competitions: Point Cloud (https://github.com/sseshadr/auvsi-cv-pointCloud), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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1.0.0.0

Description updated
Added thumbnail screenshot.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.