no code implementations • 27 Mar 2024 • Camille Billouard, Dawa Derksen, Emmanuelle Sarrazin, Bruno Vallet
Current stereo-vision pipelines produce high accuracy 3D reconstruction when using multiple pairs or triplets of satellite images.
1 code implementation • 19 Feb 2024 • Teng Wu, Bruno Vallet, Marc Pierrot-Deseilligny, Ewelina Rupnik
To address this challenge, we propose a method for generating ground-truth disparity maps directly from Light Detection and Ranging (LiDAR) and images to produce a large and diverse dataset for six aerial datasets across four different areas and two areas with different resolution images.
no code implementations • 13 Mar 2023 • Teng Wu, Bruno Vallet, Cédric Demonceaux
However it has two drawbacks: 1) the old data may be of higher quality (resolution, precision) than the new and 2) the coverage of the scene might be different in various acquisitions, including varying occlusions.
no code implementations • 21 Feb 2023 • Grégoire Grzeczkowicz, Bruno Vallet
Textured meshes are becoming an increasingly popular representation combining the 3D geometry and radiometry of real scenes.
1 code implementation • 31 Jan 2023 • Raphael Sulzer, Renaud Marlet, Bruno Vallet, Loic Landrieu
We present a comprehensive survey and benchmark of both traditional and learning-based methods for surface reconstruction from point clouds.
1 code implementation • CVPR 2022 • 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 2D features onto 3D points.
Ranked #1 on 3D Semantic Segmentation on KITTI-360 (using extra training data)
1 code implementation • 3 Feb 2022 • Raphael Sulzer, Loic Landrieu, Alexandre Boulch, Renaud Marlet, Bruno Vallet
Most current neural networks for reconstructing surfaces from point clouds ignore sensor poses and only operate on raw point locations.
1 code implementation • 13 Jul 2021 • Raphael Sulzer, Loic Landrieu, Renaud Marlet, Bruno Vallet
We introduce a novel learning-based, visibility-aware, surface reconstruction method for large-scale, defect-laden point clouds.
no code implementations • 29 Aug 2013 • Karim Hammoudi, Fadi Dornaika, Bahman Soheilian, Bruno Vallet, John McDonald, Nicolas Paparoditis
In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information.