Open3D Tutorial | 3D Data Processing | Visualize 3D Data

In this video, I will show you how we can use open3d library which was introduced by the researchers of Intel Labs.

Github Link: https://github.com/AarohiSingla/Open3...

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Open3D is an open-source library designed for processing 3D data.
There are various tasks which we can perform using open3d. For example: Scene reconstruction, Surface alignment, 3D Visualization. Open3D-ML is an extension of Open3D for 3D machine learning tasks where we can use machine learning tools for 3D data processing. 

Point clouds:
A point cloud is a collection of points to represent an object.
Point clouds are used to create 3D Models and 3DMeshes.
Point clouds are also used in Virtual Reality, object rendering, 3D printing and 3D gaming.
We can generate point clouds using 3D laser scanners and LiDAR(light detection and range)

Mesh:
A 3D mesh is the structural build (base) of a 3D model .
We generate a 3d mesh from a point clouds.
Mesh is a collection of vertices, edges and faces that decides the model’s height, width, and depth. A face is an ordered collection of vertices connected by edges that complete a loop.

3D Model:
3D model is a virtual three-dimensional image. These 3D objects can then be used for animations, video games, movies, architecture, commercial advertising etc. The core part of a 3d model is the mesh .
Mesh is just data about the structure of a model. And the model gives the complete information of that object - texture, reflectivity, color, etc