Voxie

2016-06-03

A voxel volume renderer project I participated at university.

hardware (5) software (29) graphics (8) shader (2) qt (3) c++ (2)

Table of Contents
  1. University Projects
  2. Features
  3. Links

Introspect and visualize scientific voxel data sets.

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An application displaying something that looks like a transparent PCB

Voxie was the first “real” software project with several people I worked on. It was part of my software engineer education to play through all the processes in a software development lifecycle.

We started with your typical requirement specification, customer interviews, and so on and then started to create a prototype.

At this time, I was the most experienced dev in the team of 12 people, so I took the role of the lead developer and architect, and I designed most of the architecture of both versions. The second architecture is still used in the project and seems to scale well enough.

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Voxie was designed to handle huge voxel datasets (30 GiB and more) resulting from CT scans or other sources of 3D data.

The tool was meant to display both a 3D visualization of the data sets as well a “slice” view where one could cut straight through the data and postprocess the resulting image, allowing extraction of information:

A voxel data set on the left with a slice view on the right

On the right, you can see settings windows that allowed you to configure components you activated. Here you can see the configuration for the X-Ray 3d renderer.

On the left is the result of the rendering process and in the middle is a slice that was put into the PCB traces of that part.

The X-Ray renderer wasn’t the only option available. There was also an isosurface renderer utilizing marching cubes and other volume-to-polygon techniques:

The same dataset displayed as a solid object

This was useful to display the rough shape of objects. One benchmark dataset we had was pretty cool as it was a 3D scan of a Raspberry Pi. The marching cubes visualization actually yielded a pretty accurate 3D model of the Pi, allowing us to showcase the tool nicely.

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