3 papers
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
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…