
Mask-net: Detection of Correct Use of Masks Through Computer Vision
Author(s) -
Lucia Cip,
Simone Caenazzo,
Gaston Mazzei,
Aditya Srinivas
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.52591/lxai202107247
Subject(s) - computer science , net (polyhedron) , artificial intelligence , deep learning , computer vision , machine learning , pattern recognition (psychology) , mathematics , geometry
This extended abstract presents the first stages of a research in inpainting suited for art reconstruction. We introduce M.C Escher’s Print Gallery lithography as a use-case example. This artwork presents a void on its center and additionally, it follows a challenging mathematical structure that needs to be preserved by the inpainting method. We present our work so far and our future line of research.