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RoomAlive Toolkit

The RoomAlive Toolkit enables creation of dynamic projection mapping experiences. This toolkit has been in internal use at Microsoft Research for several years and has been used in a variety of interactive projection mapping projects such as RoomAliveIllumiRoomManoAManoBeamatron and Room2Room.

The toolkit consists of two separate projects:

  • ProCamCalibration - This C# project can be used to calibrate multiple projectors and Kinect cameras in a room to enable immersive, dynamic projection mapping experiences. The code base also includes a simple projection mapping sample using Direct3D.
  • RoomAlive Toolkit for Unity - RoomAlive Toolkit for Unity contains is a set of Unity scripts and tools that enable immersive, dynamic projection mapping experiences, based on the projection-camera calibration from ProCamCalibration. This project also includes a tool to stream and render Kinect depth data to Unity.
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SeeingVR toolkit (2019)

Current virtual reality applications do not support people who have low vision, i.e., vision loss that falls short of complete blindness but is not correctable by glasses. We present SeeingVR, a set of 14 tools that enhance a VR application for people with low vision by providing visual and audio augmentations

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Microsoft Rocketbox Avatars

The Microsoft Rocketbox Avatar library consists of 115 characters and avatars fully rigged and with high definition that was developed over the course of 10 years. The diversity of the characters and the quality of the rigging together with a relatively low-poly meshes, makes this library the go-to asset among research laboratories worldwide from crowd simulation to real-time avatar embodiment and social Virtual Reality (VR). Ever since their launch, laboratories around the globe have been using the library and many of the lead authors in the VR community have extensively used these avatars during their research.

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Microsecond Arduino Code and Schematics accompanying the paper presented in IEEE VR 2020 "Measuring System Visual Latency through Cognitive Latency on Video See-Through AR devices" by Robert Gruen, Eyal Ofek, Antony Steed †, Ran Gal, Mike Sinclair, and Mar Gonzalez-Franco.

GitHub