activity
20192022
most citedProgressive tearing and cutting of soft-bodies in high-performance virtual reality

4 citations · 5 across the 8 of their papers we have counts for

collaborators

14 papers

cs.GR20224 cited

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…

cs.CV2022

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.

cs.GR2022

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…

cs.GR2022

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…

cs.GR2021

"Deep Cut": An all-in-one Geometric Algorithm for Unconstrained Cut, Tear and Drill of Soft-bodies in Mobile VR

Manos Kamarianakis, Nick Lydatakis, Antonis Protopsaltis +4

In this work, we present an integrated geometric framework: "deep- cut" that enables for the first time a user to geometrically and algorithmically cut, tear and drill the surface…

cs.GR2021

Never 'Drop the Ball' in the Operating Room: An efficient hand-based VR HMD controller interpolation algorithm, for collaborative, networked virtual environments

Manos Kamarianakis, Nick Lydatakis, George Papagiannakis

In this work, we propose two algorithms that can be applied in the context of a networked virtual environment to efficiently handle the interpolation of displacement data for hand-…