Less Is More: Efficient Networked VR Transformation Handling Using Geometric Algebra

Abstract

As shared, collaborative, networked, virtual environments become increasingly popular, various challenges arise regarding the efficient transmission of model and scene transformation data over the network. As user immersion and real-time interactions heavily depend on VR stream synchronization, transmitting the entire data sat does not seem a suitable approach, especially for sessions involving a large number of users. Session recording is another momentum-gaining feature of VR applications that also faces the same challenge. The selection of a suitable data format can reduce the occupied volume, while it may also allow effective replication of the VR session and optimized post-processing for analytics and deep-learning algorithms.In this work, we propose two algorithms that can be applied in the context of a networked multiplayer VR session, to efficiently transmit the displacement and orientation data from the users' hand-based VR HMDs. Moreover, we present a novel method describing effective VR recording of the data exchanged in such a session. Our algorithms, based on the use of dual-quaternions and multivectors, impact the network consumption rate and are highly effective in scenarios involving multiple users. By sending less data over the network and interpolating the in-between frames locally, we manage to obtain better visual results than current state-of-the-art methods. Lastly, we prove that, for recording purposes, storing less data and interpolating them on-demand yields a data set quantitatively close to the original one.

MAGES 4.0: Accelerating the world's transition to VR training and democratizing the authoring of the medical metaverse

“…This remarkable achievement is accomplished by the transmission over the network layer of GA-based representation forms of the VR scene transformation data, which support higher data compression rates. The use of such alternative forms by MAGES reduce the required data that must be sent over the network by up to 33%, whereas the reduced amount of data sent in these forms yield visually better interpolated results, with the overall QoE being sufficient even when the network quality, in terms of bandwidth, seriously deteriorates [10].…”