17 citations · 40 across the 8 of their papers we have counts for
8 papers
Mobile Mapping Mesh Change Detection and Update
Teng Wu, Bruno Vallet, Cédric Demonceaux
Mobile mapping, in particular, Mobile Lidar Scanning (MLS) is increasingly widespread to monitor and map urban scenes at city scale with unprecedented resolution and accuracy. The…
Semantic Segmentation of Urban Textured Meshes Through Point Sampling
Grégoire Grzeczkowicz, Bruno Vallet
Textured meshes are becoming an increasingly popular representation combining the 3D geometry and radiometry of real scenes. However, semantic segmentation algorithms for urban mes…
A Survey and Benchmark of Automatic Surface Reconstruction from Point Clouds
Raphael Sulzer, Renaud Marlet, Bruno Vallet +1
We present a comprehensive survey and benchmark of both traditional and learning-based methods for surface reconstruction from point clouds. This task is particularly challenging f…
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Damien Robert, Bruno Vallet, Loic Landrieu
Recent works on 3D semantic segmentation propose to exploit the synergy between images and point clouds by processing each modality with a dedicated network and projecting learned…
Deep Surface Reconstruction from Point Clouds with Visibility Information
Raphael Sulzer, Loic Landrieu, Alexandre Boulch +2
Most current neural networks for reconstructing surfaces from point clouds ignore sensor poses and only operate on raw point locations. Sensor visibility, however, holds meaningful…
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
Raphael Sulzer, Loic Landrieu, Renaud Marlet +1
We introduce a novel learning-based, visibility-aware, surface reconstruction method for large-scale, defect-laden point clouds. Our approach can cope with the scale and variety of…