23 citations · 47 across the 9 of their papers we have counts for
6 papers · 1 filter
A Data-driven Prior on Facet Orientation for Semantic Mesh Labeling
Andrea Romanoni, Matteo Matteucci
Mesh labeling is the key problem of classifying the facets of a 3D mesh with a label among a set of possible ones. State-of-the-art methods model mesh labeling as a Markov Random F…
Attention Mechanisms for Object Recognition with Event-Based Cameras
Marco Cannici, Marco Ciccone, Andrea Romanoni +1
Event-based cameras are neuromorphic sensors capable of efficiently encoding visual information in the form of sparse sequences of events. Being biologically inspired, they are com…
Predicting the Next Best View for 3D Mesh Refinement
Luca Morreale, Andrea Romanoni, Matteo Matteucci
3D reconstruction is a core task in many applications such as robot navigation or sites inspections. Finding the best poses to capture part of the scene is one of the most challeng…
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras
Marco Cannici, Marco Ciccone, Andrea Romanoni +1
Event-based cameras, also known as neuromorphic cameras, are bioinspired sensors able to perceive changes in the scene at high frequency with low power consumption. Becoming availa…
Multi-View Stereo 3D Edge Reconstruction
Andrea Bignoli, Andrea Romanoni, Matteo Matteucci
This paper presents a novel method for the reconstruction of 3D edges in multi-view stereo scenarios. Previous research in the field typically relied on video sequences and limited…
Real-time CPU-based large-scale 3D mesh reconstruction
Enrico Piazza, Andrea Romanoni, Matteo Matteucci
In Robotics, especially in this era of autonomous driving, mapping is one key ability of a robot to be able to navigate through an environment, localize on it and analyze its trave…