The geometric modeling of urban objects from physical measurements, and their representation in an accurate, compact and efficient way, is an enduring problem in computer vision and computer graphics. In the literature, the geometric data structures at the interface between physical measurements and output models typically suffer from...
-
December 6, 2019 (v1)PublicationUploaded on: December 4, 2022
-
June 18, 2018 (v1)Conference paper
Recent works showed that floating polygons can be an interesting alternative to traditional superpixels, especially for analyzing scenes with strong geometric signatures , as man-made environments. Existing algorithms produce homogeneously-sized polygons that fail to capture thin geometric structures and over-partition large uniform areas. We...
Uploaded on: March 25, 2023 -
2020 (v1)Journal article
Converting point clouds into concise polygonal meshes in an automated manner is an enduring problem in Computer Graphics. Prior work, which typically operate by assembling planar shapes detected from input points, largely overlooked the scalability issue of processing a large number of shapes. As a result, they tend to produce overly simplified...
Uploaded on: December 4, 2022 -
September 24, 2019 (v1)Conference paper
We introduce a pipeline that reconstructs buildings of urban environments as concise polygonal meshes from airborne LiDAR scans.It consists of three main steps : classification, building contouring, and building reconstruction, the two last steps being achievedusing computational geometry tools. Our algorithm demonstrates its robustness,...
Uploaded on: December 4, 2022 -
July 7, 2024 (v1)Conference paper
The recent introduction of very high resolution satellite imagery (30 cm/pixel) allows us to propose a pipeline for automated cartography of major man-made structures such as buildings and especially the novel class of wall/fence. Extraction is performed by deep learning then geometry is reconstructed and regularized to fit mapping...
Uploaded on: July 19, 2024 -
September 26, 2020 (v1)Conference paper
Automatic 3D reconstruction of urban scenes from stereo pairs of satellite images remains a popular yet challenging research topic, driven by numerous applications such as telecommunications and defense. The quality of reconstruction results depends particularly on the quality of the available stereo pair. In this paper, we propose an...
Uploaded on: December 4, 2022