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  1. Visualizing your DataSets

3D DataSets

Learn about three dimensional data and how to work with it

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Last updated 4 years ago

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3D Data

Contrary to its two dimensional counter part, three-dimensional (3D) data comes in several shapes.

  • Mesh: A mesh is structural build of a 3D model based on polygons. Every point in a mesh represents a point in space called vertex. This point is itself connected to two or more vertices, thus creating a base geometry shape such as triangles and quads. Connecting multiple triangles together, they form a three dimensional structure that can be displayed on a monitor.

  • Point Cloud: A point cloud is a set of geo-referenced points. They provide high-resolution data without the distortion sometimes present in 3D mesh models and are commonly used in industry-standard software.

  • Volume Data: In a nutshell, volume data is a set of 2D sliced images that stack together forming a regular pattern assembling a 3D structure. Most of the time this type of data is acquired by a CT, MRI, or MicroCT scanner.

  • Height Elevation Data: This type of data is used to display terrains. Usually one of the channels in the data contains information on a displacement or height from the floor of a surface.

3D data software

(Licensed)

(Licensed)

(Licensed)

Paraview
Imaris
Blender
Inkscape
Open Scene Graph
SDL
AutoDesk Maya
MinVR
BioBlender
Rino 3D