26 citations · 75 across the 18 of their papers we have counts for
6 papers · 1 filter
Progressive tearing and cutting of soft-bodies in high-performance virtual reality
Manos Kamarianakis, Antonis Protopsaltis, Dimitris Angelis +2
We present an algorithm that allows a user within a virtual environment to perform real-time unconstrained cuts or consecutive tears, i.e., progressive, continuous fractures on a d…
MAGES 4.0: Accelerating the world's transition to VR training and democratizing the authoring of the medical metaverse
Paul Zikas, Antonis Protopsaltis, Nick Lydatakis +14
In this work, we propose MAGES 4.0, a novel Software Development Kit (SDK) to accelerate the creation of collaborative medical training applications in VR/AR. Our solution is essen…
Assessing unconstrained surgical cuttings in VR using CNNs
Ilias Chrysovergis, Manos Kamarianakis, Mike Kentros +3
We present a Convolutional Neural Network (CNN) suitable to assess unconstrained surgical cuttings, trained on a dataset created with a data augmentation technique.
Recording and replaying psychomotor user actions in VR
Manos Kamarianakis, Ilias Chrysovergis, Mike Kentros +1
We introduce a novel method that describes the functionality and characteristics of an efficient VR recorder with replay capabilities, implemented in a modern game engine, publicly…
Realistic soft-body tearing under 10ms in VR
Manos Kamarianakis, Antonis Protopsaltis, Michail Tamiolakis +1
We present a novel integration of a real-time continuous tearing algorithm for 3D meshes in VR, suitable for devices of low CPU/GPU specifications, along with a suitable particle d…
Less Is More: Efficient Networked VR Transformation Handling Using Geometric Algebra
Manos Kamarianakis, Ilias Chrysovergis, Nick Lydatakis +2
As shared, collaborative, networked, virtual environments become increasingly popular, various challenges arise regarding the efficient transmission of model and scene transformati…