Zobrazeno 1 - 10
of 746
pro vyhledávání: '"B. Vallet"'
Autor:
G. Grzeczkowicz, B. Vallet
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2022, Pp 177-184 (2022)
Textured meshes are becoming an increasingly popular representation combining the 3D geometry and radiometry of real scenes. However, semantic segmentation algorithms for urban mesh have been little investigated and do not exploit all radiometric inf
Externí odkaz:
https://doaj.org/article/da6ed7b695b94a1c95434bb82ec4f8d0
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2022, Pp 129-136 (2022)
Combining image and LiDAR draws increasing interest in surface reconstruction, city and building modeling for constructing 3D virtual reality models because of their complementary nature. However, to gain from this complementarity, these data sources
Externí odkaz:
https://doaj.org/article/b4d764faa29142e78a771cc6f4ac0dee
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2022, Pp 177-184 (2022)
Indoor/Outdoor modeling of buildings is an important issue in the field of building life cycle management. It is seen as a joint process where the two aspects collaborate to take advantage of their semantic and geometric complementary. This global ap
Externí odkaz:
https://doaj.org/article/6c364895c307428088d34dfe5d8f8496
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2021, Pp 51-58 (2021)
The registration of indoor and outdoor scans with a precision reaching the level of geometric noise represents a major challenge for Indoor/Outdoor building modeling. The basic idea of the contribution presented in this paper consists in extracting p
Externí odkaz:
https://doaj.org/article/ea8c67ee7b804dba9a68618261a36463
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 369-376 (2021)
This paper addresses the evaluation of algorithms reconstructing a watertight surface from a point cloud acquired on an open scene. The objective is to set a rigorous protocol measuring the quality of the reconstruction and to propose a quality metri
Externí odkaz:
https://doaj.org/article/0838298f95804a50b9c689c4548c9a3f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 405-412 (2021)
Stereo dense matching is a fundamental task for 3D scene reconstruction. Recently, deep learning based methods have proven effective on some benchmark datasets, for example Middlebury and KITTI stereo. However, it is not easy to find a training datas
Externí odkaz:
https://doaj.org/article/c15c9a76c3ec40d7bfe96d1e8325c87e
Autor:
P.-M. Brunet, P. Lassalle, S. Baillarin, B. Vallet, A. Le Bris, G. Romeyer, G. Le Besnerais, F. Weissgerber, G. Foulon, V. Gaudissart, C. Triquet, M. Darques, G. Souille, L. Gabet, C. Ferrero, T.-L. Huynh, E. Lavergne
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 817-823 (2021)
The availability of 3D Geospatial information is a key issue for many expanding sectors such as autonomous vehicles, business intelligence and urban planning. Its production is now possible thanks to the abundance of available data (Earth observation
Externí odkaz:
https://doaj.org/article/596727f61d654c858e7dc826221ca667
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 343-350 (2020)
Detecting planar structures in point clouds is a very central step of the point cloud processing pipeline as many Lidar scans, in particular in anthropic environments, present such planar structures. Many improvements have been proposed to RANSAC and
Externí odkaz:
https://doaj.org/article/84006b35c82f4b5ca7563ce93571063e
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 507-514 (2020)
Indoor mapping attracts more attention with the development of 2D and 3D camera and Lidar sensor. Lidar systems can provide a very high resolution and accurate point cloud. When aiming to reconstruct the static part of the scene, moving objects shoul
Externí odkaz:
https://doaj.org/article/6f28fc1b2fb649b2b9d4701f64c09c6e
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-2-W5, Pp 365-372 (2019)
We introduce a new method for the piecewise-planar approximation of 3D data, including point clouds and meshes. Our method is designed to operate on large datasets (e.g. millions of vertices) containing planar structures, which are very frequent in a
Externí odkaz:
https://doaj.org/article/4e74fb99644443f8992d50bfea8815ad