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ViewR: Architectural-Scale Multi-User Mixed Reality with Mobile Head-Mounted Displays

ViewR is a framework for co-located multi-user mixed reality with mobile head-mounted displays, allowing architectural spaces of arbitrary size to be transformed into immersive multi-user visualisation arenas.

How to install:

The full ViewR package:

  1. Clone repository
  2. Install dependencies:
  3. Add Normcore AppID
    https://normcore.io/dashboard/app/applications/create

Just the calibration package:

  1. Install package through git URL:
  2. Add "CalibrationManager" and "CalibrationStations" prefabs to your SceneContent
  3. Set references in CalibrationManager
    • CenterEye- Camera of the player
    • TransformToMove - the gameobject which is at the end calibrated (usally the tracking space of the camera)
    • Left/RightHandAnchor - Gameobjects which resemble either the hand and/or controller positions. This is used for the feedback UI
    • Left/Right wrist - The wrist joints of the tracked hands which should match the position in the calibration station image
    • Left/Right controller calibration point - The point on the controller which should match the point on the calibration stations.

How to use

Calibration

For the calibration system: place calibration stations at same position as in the real world. The corresponding sheets can be printed on A3 paper with the picutres under: "Images/CalibrationStations/" Controllers are used with primary button changable in "ControllerBasedCalibrator" under the "CalibrationManager"

Blending

To enable passthorugh blending with your model, drag it under the "SpaceContainer -> World -> Space" To adjust the blending on runtime, open the menu with the left controllers menu button Content which should stay fully virtual can be placed inside "Scene Content"

References & BibTex

Research Paper - DOI

@article{schierViewRArchitecturalScaleMultiUser2023,
	title = {{ViewR}: Architectural-Scale Multi-User Mixed Reality with Mobile Head-Mounted Displays},
	url = {https://ieeexplore.ieee.org/document/10210595/},
	doi = {10.1109/TVCG.2023.3299781},
	journaltitle = {{IEEE} Transactions on Visualization and Computer Graphics},
	author = {Schier, Florian and Zeidler, Daniel and Chandran, Krishnan and Yu, Zhongyuan and McGinity, Matthew},
	date = {2023},
}

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