23 citations · 47 across the 9 of their papers we have counts for
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cs.CV2019★ 13 cited
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…
cs.CV2019
TAPA-MVS: Textureless-Aware PAtchMatch Multi-View Stereo
Andrea Romanoni, Matteo Matteucci
One of the most successful approaches in Multi-View Stereo estimates a depth map and a normal map for each view via PatchMatch-based optimization and fuses them into a consistent 3…
cs.CV2019
Dense 3D Visual Mapping via Semantic Simplification
Luca Morreale, Andrea Romanoni, Matteo Matteucci
Dense 3D visual mapping estimates as many as possible pixel depths, for each image. This results in very dense point clouds that often contain redundant and noisy information, espe…