VisionVR (InViewR) Release 1.2.2 - 2017-01-08
VisionVR (InViewR) 1.2.2
With arivis InViewR 1.2.2 we introduce plenty of new features that for the first time enable users to annotate and extract features from their images in Virtual Reality. We also made vast improvements to our visualization tools to give novice users an easy start and providing useful help for advanced users when adjusting CTFs.
arivis InViewR 1.2.2: Top Features
When opening a data set the first time, arivis InViewR will automatically generate a default color and opacity transfer function based on an Otsu approach. The functionality of the transfer function tab has also been improved: You can now add and delete points on the CTF as well as change parameters like specular within VR. To add points to the CTF curve, press and hold the trigger button while pointing to the desired location within the CTF. Points can be deleted by grabbing points and throwing them to the side, or pressing ‘X’. We also added a material appearance preview to demonstrate how changes affect sample rendering.
A When viewing multi-channel images, users can now switch between different channels within VR.
arivis InViewR is now able to visualize surfaces alongside the voxel data set. It is possible to manually transform (scale, rotate or move) surfaces independently from the data set. Surfaces can be imported from*.obj files (which can be created with arivis Vision4D).It is also possible to generate Isosurfaces in arivis InViewR using a basic intensity threshold algorithm.
Surfaces created in InViewR can be stored within the open *.sis file enabling users to create surfaces in arivis InViewR and completing their workflow in arivis Vision4D or vice versa.
Marker Annotation Support
Marker annotations known from arivis Vision4D are now also supported in arivis InViewR. Using the intuitive Touch controllers, it is now possible to place markers and quickly switch between them using the right thumbstick. Marker annotations are also stored within the open *.sis file and can be viewed in arivis Vision4D. This for the first time enables users to manually count objects in Virtual Reality and combine these manual tasks with advanced image analysis workflows of arivis Vision4D.