Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Florent Lafarge"'
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 192, ⟨10.1016/j.isprsjprs.2022.08.001⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 192, ⟨10.1016/j.isprsjprs.2022.08.001⟩
International audience; 3D urban models created either interactively by human operators or automatically with reconstruction algorithms often contain geometric and semantic errors. Correcting them in an automated manner is an important scientific cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28b511551be4d116b375ee2e7c937de2
https://inria.hal.science/hal-03767910/file/paper.pdf
https://inria.hal.science/hal-03767910/file/paper.pdf
Publikováno v:
Computer Aided Geometric Design
Computer Aided Geometric Design, 2023, 13, pp.102204. ⟨10.1016/j.cagd.2023.102204⟩
Computer Aided Geometric Design, 2023, 13, pp.102204. ⟨10.1016/j.cagd.2023.102204⟩
International audience; Detecting sharp features in raw point clouds is an essential step in designing efficient priors in several 3D Vision applications. This paper presents a deep learning-based approach that learns to detect and consolidate sharp
Autor:
Gaetan Bahl, Florent Lafarge, Nicolas Paparoditis, Anatol Garioud, Clément Mallet, M. Poreba, Ian Dowman, Ewelina Rupnik, Nicolas Girard
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 1-6 (2020)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS 2020-XXIVth edition of the International Society for Photogrammetry and Remote Sensing
ISPRS 2020-XXIVth edition of the International Society for Photogrammetry and Remote Sensing, Aug 2020, Nice / Virtual, France. pp.1-6, ⟨10.5194/isprs-annals-V-1-2020-1-2020⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-5-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 1-6 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 1-6 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 1-6 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 1-6 (2020)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS 2020-XXIVth edition of the International Society for Photogrammetry and Remote Sensing
ISPRS 2020-XXIVth edition of the International Society for Photogrammetry and Remote Sensing, Aug 2020, Nice / Virtual, France. pp.1-6, ⟨10.5194/isprs-annals-V-1-2020-1-2020⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-5-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 1-6 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 1-6 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2020, Pp 1-6 (2020)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2020, Pp 1-6 (2020)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 1-6 (2020)
We report key elements and figures related to the proceedings of the 2020 edition of the XXIVth ISPRS Congress. The COVID-19 pandemic causes global travel challenges and restrictions for the full year 2020. Consequently, the Congress planned in June
Autor:
Michael Ying Yang, Anatol Garioud, Gaetan Bahl, Clément Mallet, Nicolas Paparoditis, M. Poreba, Florent Lafarge, T. Wu, Y. Chen, S. Jiang, M. Yu
Publikováno v:
XXIVth ISPRS Congress, 2021 edition
XXIVth ISPRS Congress, 2021 edition, Jul 2021, Nice (virtuel), France. pp.1-5, ⟨10.5194/isprs-annals-v-1-2021-1-2021⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-5-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2021, Pp 1-5 (2021)
XXIVth ISPRS Congress, 2021 edition, Jul 2021, Nice (virtuel), France. pp.1-5, ⟨10.5194/isprs-annals-v-1-2021-1-2021⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B5-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-5-2021, Pp 1-5 (2021)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B1-2021, Pp 1-5 (2021)
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2021, Pp 1-5 (2021)
We report key elements and figures related to the proceedings of the 2021 edition of the XXIVth ISPRS Congress. Similarly to 2020, the COVID-19 pandemic caused global travel challenges and restrictions for the first half of 2021. Consequently, the ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0acf8e5bd914a201b25280ba42b43483
https://hal.science/hal-03276194
https://hal.science/hal-03276194
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 175, pp.44-55. ⟨10.1016/j.isprsjprs.2021.02.012⟩
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021, 175, pp.44-55. ⟨10.1016/j.isprsjprs.2021.02.012⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 175, pp.44-55. ⟨10.1016/j.isprsjprs.2021.02.012⟩
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2021, 175, pp.44-55. ⟨10.1016/j.isprsjprs.2021.02.012⟩
International audience; We propose a novel approach to automatically reconstruct the floorplan of indoor environments from raw sensor data. In contrast to existing methods that generate floorplans under the form of a planar graph by detecting corner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb1ee67b2da9bc7ee1ea42365e2e89de
https://inria.hal.science/hal-03387916
https://inria.hal.science/hal-03387916
Publikováno v:
CVPR
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
International audience; We present an algorithm for extracting and vectorizing objects in images with polygons. Departing from a polygonal partition that oversegments an image into convex cells, the algorithm refines the geometry of the partition whi
Autor:
Hao Fang, Florent Lafarge
Publikováno v:
CVPR
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2020-IEEE Conference on Computer Vision and Pattern Recognition, Jun 2020, Seattle / Virtual, United States
International audience; Converting point clouds generated by Laser scanning, multiview stereo imagery or depth cameras into compact polygon meshes is a challenging problem in vision. Existing methods are either robust to imperfect data or scalable, b
Autor:
Jean-Philippe Bauchet, Florent Lafarge
Publikováno v:
ACM Transactions on Graphics
ACM Transactions on Graphics, Association for Computing Machinery, 2020, ⟨10.1145/3376918⟩
ACM Transactions on Graphics, 2020, ⟨10.1145/3376918⟩
ACM Transactions on Graphics, Association for Computing Machinery, 2020, ⟨10.1145/3376918⟩
ACM Transactions on Graphics, 2020, ⟨10.1145/3376918⟩
International audience; 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 over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2ed7d0e5610e4daf8c3a3bf1ca8d1eb
https://hal.inria.fr/hal-02924409
https://hal.inria.fr/hal-02924409
Publikováno v:
ACM Transactions on Graphics
ACM Transactions on Graphics, 2017, 36 (6)
ACM Transactions on Graphics, Association for Computing Machinery, 2017, 36 (6)
ACM Transactions on Graphics, 2017, 36 (6)
ACM Transactions on Graphics, Association for Computing Machinery, 2017, 36 (6)
International audience; We present a method to create vector cliparts from photographs. Our approach aims at reproducing two key properties of cliparts: they should be easily editable, and they should represent image content in a clean, simplified wa
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 126, pp.38-55. ⟨10.1016/j.isprsjprs.2017.01.012⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 126, pp.38-55. ⟨10.1016/j.isprsjprs.2017.01.012⟩
International audience; In this paper, we propose a new stochastic approach for the automatic detection of network structures in raster data. We represent a network as a set of trees with acyclic planar graphs. We embed this model in the probabilisti