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OpenVR SDK was released to the public on 30 April 2015 by Valve, for developers to develop SteamVR games and software. It provides support for the HTC Vive Developer Edition, including the SteamVR controller and Lighthouse. OpenVR SDK was an important step towards the release of the first HTC Vive Developer Edition.
Vive Facial Tracker: In March 2021, HTC announced and released the Vive Facial Tracker, an accessory attached to the headset containing infrared-illuminated cameras for facial motion capture. The functionality can be used in applications such as social worlds, and combined with the eye tracking system on supported models.
Face Recognition is used to identify or verify a person from a digital image or a video source using a pre-stored facial data. Visage SDK's face recognition algorithms can measure similarities between people and recognize a person’s identity [citation needed] from a frontal facial image by comparing it to pre-stored faces.
Today, the company's content arm, Vive Studios, is releasing a Pro version of the MakeVR 3D modeling software, which they've made in collaboration with Sixense.
Eye tracking, Face tracking, Mouth tracking, Standalone compute unit, Self tracking controller Qualcomm Snapdragon XR2+ Oculus Mobile Optional HTC VIVE XR Elite 2023-2-25 Inside-out LCD 1920 x 1920 17:5 N/A 90 Hz 110° 270 g (goggle only) 625 g (goggle+battery) $1,099 No Qualcomm Snapdragon XR2 Own platform No Bigscreen Beyond [156] 2023-09-07 ...
VRChat is designed primarily for use with virtual reality headsets, being available for Microsoft Windows PCs and as an app for Android-based headsets such as the Meta Quest, Pico 4, and HTC Vive XR Elite.
FreeTrack is a general-purpose optical motion tracking application for Microsoft Windows, released under the GNU General Public License, that can be used with common inexpensive cameras. Its primary focus is head tracking with uses in virtual reality , simulation , video games , 3D modeling , computer aided design and general hands-free ...
Markerless technologies use the features of the face such as nostrils, the corners of the lips and eyes, and wrinkles and then track them.This technology is discussed and demonstrated at CMU, [2] IBM, [3] University of Manchester (where much of this started with Tim Cootes, [4] Gareth Edwards and Chris Taylor) and other locations, using active appearance models, principal component analysis ...