Location information for events, assets, and individuals, mostly focusing on two dimensions
so far, has triggered a multitude of applications across different verticals, such as consumer …

This article provides a comprehensive survey on pioneer and state-of-the-art 3D scene
geometry estimation methodologies based on single, two, or multiple images captured …

We present a new approach to the problem of estimating the 3D room layout from a single
panoramic image. We represent room layout as three 1D vectors that encode, at each image …

We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D
room layouts from a single RGB panorama. To achieve better prediction accuracy, our …

Nowadays digital replicas of artefacts belonging to the Cultural Heritage (CH) are one of the
most promising innovations for museums exhibitions, since they foster new forms of …

Creating high‐level structured 3D models of real‐world indoor scenes from captured data is
a fundamental task which has important applications in many fields. Given the complexity …

We introduce a novel end-to-end approach to predict a 3D room layout from a single
panoramic image. Compared to recent state-of-the-art works, our method is not limited to …

Panorama images have a much larger field-of-view thus naturally encode enriched scene
context information compared to standard perspective images, which however is not well …

Recent approaches for predicting layouts from 360^ ∘∘ panoramas produce excellent
results. These approaches build on a common framework consisting of three steps: a pre …

The rising availability of commercial 360o cameras that democratize indoor scanning, has
increased the interest for novel applications, such as interior space re-design. Diminished …