GVDB Success Stories and Showcase

To all our GVDB Voxels users, this thread is for you to post and showcase success stories testing, integrating, doing research, or just experimenting and playing with sparse volumes using GVDB.

As an open source project, we invite the sharing of ideas and discoveries.
If you are interesting in making an open source contribution to GVDB, let us know, or fork on github!

While critical feedback is welcome on other threads to help us add features to GVDB 1.1 for your needs, positive feedback here is also welcome to encourage us to continue to support and improve GVDB. How you, our users, respond to GVDB will determine what happens to it in the future.

GVDB is going to be of great help for Tomographic reconstruction in THz. Most of our data being both volumetric and sparse, the whole Library is of great help to us.

I’m working for the LIRMM, a Laboratory for Microelectonics, Mechanics, and Computer Science in southern France as an intern.

Looking forward the evolution of this project!

Rama, I’d love to share, but if we can’t get this (1.1) built then no one will send in stories and with no one using it, it will die and that will be a shame.

Looking forward the evolution of this project!

We use OpenVDB format to store high-resolution brain imaging data. GVDB-based rendering is under development.