all AI news
Atlanta Scaled layouts from non-central panoramas. (arXiv:2401.17058v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
In this work we present a novel approach for 3D layout recovery of indoor
environments using a non-central acquisition system. From a non-central
panorama, full and scaled 3D lines can be independently recovered by geometry
reasoning without geometric nor scale assumptions. However, their sensitivity
to noise and complex geometric modeling has led these panoramas being little
investigated. Our new pipeline aims to extract the boundaries of the structural
lines of an indoor environment with a neural network and exploit the …
acquisition arxiv assumptions atlanta cs.cv environments geometry modeling noise novel panorama reasoning recovery scale sensitivity work