Visit our booths and discuss the recent developments like cloud platforms integration and offline functionalities with us.
instant3Dhub @ Fraunhofer IGD
Multi-Device and Shared Sessions
(booth 02, next to prostep)
Hope to see you there!
21.12.2018 instant3Dhub Release
instant3Dhub 2.14.0 has been released today! This version substantially streamlines recent developments and heavily improves the stability with tons of bug fixes. Furthermore, a number of new or previously experimental features have been integrated or stabilized and are now ready for production!
With the ongoing success of instant3Dhub, we are constantly looking for great candidates to extend our team at the VCST department of Fraunhofer IGD.
If you have a passion for computer graphics and are willing to support our young and enthusiastic team in the development of our visual-computing-as-a-service solution, you can find more details at Fraunhofer Vacancies.
10.08.2018 instant3Dhub Release
Remote Culling facilitates the visualization of the most complex model data on even low performaning devices. Using a server-side visibility computation only the actually visible geometry parts are loaded and rendered by the clients.
27.09.2017 instant3Dhub Release
We are proud and happy to present the next release of instant3Dhub. The brand-new version 2.10 includes, as usual, several fixes and a couple of general improvements.
New Major Features
Dynamic Render Pipeline Selection
One major goal of instant3Dhub was always to distribute and balance rendering computations between client and server, in order to optimally adapt to different requirements. Version 2.10 is able to dynamically select the best possible render pipeline setups in a fully-automatic fashion. This is not only convenient, but also a great foundation for further extensions in the future.
Remote Culling and Rendering
The current release includes improved GPU-based service components, enabling remote culling and remote rendering scenarios. This enables users to conveniently inspect even larger models on any client device.
New Tag/Key/Label Data Selection API
Version 2.10 offers a fast indexing and selection API for data in instance graph nodes. This feature allows application developers to dynamically connect 3D scene information with application-specific data.
New Acceleration Structure for Advanced Measurements Modes
The new acceleration structure introduced with version 2.10 supports complex measurement setups on 3D shape data, even in massive data sets. This is a powerful feature for different kinds of review scenarios.
Changes and Improvements
Request an evaluation license and trial system today to test the new feature with your very own data: [LINK]
No Massive Data on the HoloLens without simplification? Doch! We are extending the existing instant3Dhub/naVis tech stack with a new C++/DX11 backend to enable massive CAD data on the MS HoloLens. We use a set of hybrid rendering techniques to calculate and stream visible elements to the client. The decoupled client synthesises new frames with a controlled triangle budget to maximize the end user experience. The scalable solution adapts to different network bandwidth situations and allows to render models of any size without any simplification on the HoloLens.
21.03.2017 Event instant3Dhub
Virtual Reality is one of the main key features for Industrie 4.0. This week we will present our solution at the CeBIT 2017 in Hannover. You find us at the Fraunhofer Exhibition in Hall6/B36.
More Informations under: https://www.igd.fraunhofer.de/en/node/1166
Today we will present the latest updates on our standardization efforts (glTF), including capabilities for Physically-Based Rendering (PBR) at the Khronos WebGL/WebVR/glTF Meetup on the GDC in San Fransico.
You can find the slides of the talk here.
The new 2.9 Release supports now webVR directly. A new video showcases this feature.
webVR is cool. Virtual Reality (VR) works without software deployment, just in the browser.
One major issue right now is the data size. VR needs consistently HIGH refresh rates (frames per second, FPS), but current WebGL frameworks are sensitive to the input data size. Therefore, big data leads to LOW FPS and/or excessive download times.
Our Solution: The output-sensitive instant3Dhub calculates and streams only visible parts.
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