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Student Competition: Computer Vision Training, Point Clouds

From the series: Student Competition: Computer Vision Training

Debanjana Mukherjee, MathWorks

In this video, you will learn about point clouds. You will learn how to read, load and visualize them 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.

Additional Information:

  • 3-D Point Cloud Processing reference documentation
  • pcread function documentation
  • pcwrite function documentation
  • pcshow function documentation
  • pcdownsample function documentation
  • pcdenoise function documentation
  • affine3d class documentation
  • pctransform function documentation
  • Point Cloud Registration – Functions, Concepts and Examples
  • select function documentation

Download Code and Files

Download Files: Point Clouds

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  • Computer Vision Toolbox
  • Image Processing Toolbox

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In this video, you will learn about stereo vision and calibrating stereo cameras. We will use an example of reconstructing a scene using stereo vision.
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