13 citations · 20 across the 3 of their papers we have counts for
8 papers
Towards Affordance Prediction with Vision via Task Oriented Grasp Quality Metrics
Luca Cavalli, Gianpaolo Di Pietro, Matteo Matteucci
While many quality metrics exist to evaluate the quality of a grasp by itself, no clear quantification of the quality of a grasp relatively to the task the grasp is used for has be…
Mesh-based Camera Pairs Selection and Occlusion-Aware Masking for Mesh Refinement
Andrea Romanoni, Matteo Matteucci
Many Multi-View-Stereo algorithms extract a 3D mesh model of a scene, after fusing depth maps into a volumetric representation of the space. Due to the limited scalability of such…
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…
Multi-View Stereo with Single-View Semantic Mesh Refinement
Andrea Romanoni, Marco Ciccone, Francesco Visin +1
While 3D reconstruction is a well-established and widely explored research topic, semantic 3D reconstruction has only recently witnessed an increasing share of attention from the C…
Mesh-based 3D Textured Urban Mapping
Andrea Romanoni, Daniele Fiorenti, Matteo Matteucci
In the era of autonomous driving, urban mapping represents a core step to let vehicles interact with the urban context. Successful mapping algorithms have been proposed in the last…