Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Florence Denis"'
Publikováno v:
Remote Sensing, Vol 9, Iss 10, p 1014 (2017)
Acquiring 3D data with LiDAR systems involves scanning multiple scenes from different points of view. In actual systems, the ICP algorithm (Iterative Closest Point) is commonly used to register the acquired point clouds together to form a unique one.
Externí odkaz:
https://doaj.org/article/03ab5d516df044abb91e291459262a66
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 395-402 (2020)
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, V-2-2020, pp.395-402. ⟨10.5194/isprs-annals-V-2-2020-395-2020⟩
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020, V-2-2020, pp.395-402. ⟨10.5194/isprs-annals-V-2-2020-395-2020⟩
This paper deals with 3D modeling of building interiors from point clouds captured by a 3D LiDAR scanner. Indeed, currently, the building reconstruction processes remain mostly manual. While LiDAR data have some specific properties which make the rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e9f095ed57ef4b0e397829c32950870
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/395/2020/isprs-annals-V-2-2020-395-2020.pdf
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/395/2020/isprs-annals-V-2-2020-395-2020.pdf
Autor:
Paul Checchin, Laurent Trassoudaine, David Coeurjolly, Florence Denis, Julia Sanchez, Florent Dupont
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2020, 163, pp.18-35. ⟨10.1016/j.isprsjprs.2020.02.018⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 163, pp.18-35. ⟨10.1016/j.isprsjprs.2020.02.018⟩
ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2020, 163, pp.18-35. ⟨10.1016/j.isprsjprs.2020.02.018⟩
ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 163, pp.18-35. ⟨10.1016/j.isprsjprs.2020.02.018⟩
This paper introduces a robust normal vector estimator for point cloud data. It can handle sharp features as well as smooth areas. Our method is based on the inclusion of a robust estimator into a Principal Component Analysis in the neighborhood of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c8e739f2d3689d8e42313cbb0f782e
https://hal.archives-ouvertes.fr/hal-02514851/file/normal_estimation.pdf
https://hal.archives-ouvertes.fr/hal-02514851/file/normal_estimation.pdf
Autor:
Daniel Guinet, Edoardo Carlesi, Romain Graziani, Florence Denis, Florent Dupont, Noam I. Libeskind, Hélène M. Courtois, Daniel Pomarède, Brent Tully, Alexandra Dupuy, Y. Copin
Publikováno v:
Monthly Notices of the Royal Astronomical Society
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2019, 489 (1), pp.L1-L6. ⟨10.1093/mnrasl/slz115⟩
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2019, 489 (1), pp.L1-L6. ⟨10.1093/mnrasl/slz115⟩
Monthly Notices of the Royal Astronomical Society, 2019, 489 (1), pp.L1-L6. ⟨10.1093/mnrasl/slz115⟩
Monthly Notices of the Royal Astronomical Society, Oxford University Press (OUP): Policy P-Oxford Open Option A, 2019, 489 (1), pp.L1-L6. ⟨10.1093/mnrasl/slz115⟩
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2019, 489 (1), pp.L1-L6. ⟨10.1093/mnrasl/slz115⟩
Monthly Notices of the Royal Astronomical Society, 2019, 489 (1), pp.L1-L6. ⟨10.1093/mnrasl/slz115⟩
This letter presents a new approach using the cosmic peculiar velocity field to characterize the morphology and size of large scale structures in the local Universe. The algorithm developed uses the three-dimensional peculiar velocity field to comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::267a1a978f94550705c092c4c710e234
https://hal.archives-ouvertes.fr/hal-02279100
https://hal.archives-ouvertes.fr/hal-02279100
Publikováno v:
Remote Sensing; Volume 9; Issue 10; Pages: 1014
Remote Sensing
Remote Sensing, MDPI, 2017, 9 (10), ⟨10.3390/rs9101014⟩
Remote Sensing, 2017, 9 (10), ⟨10.3390/rs9101014⟩
Remote Sensing, Vol 9, Iss 10, p 1014 (2017)
Remote Sensing
Remote Sensing, MDPI, 2017, 9 (10), ⟨10.3390/rs9101014⟩
Remote Sensing, 2017, 9 (10), ⟨10.3390/rs9101014⟩
Remote Sensing, Vol 9, Iss 10, p 1014 (2017)
International audience; Acquiring 3D data with LiDAR systems involves scanning multiple scenes from different points of view. In actual systems, the ICP algorithm (Iterative Closest Point) is commonly used to register the acquired point clouds togeth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88c1007af7538cc31bc8574beac05bbc
Publikováno v:
Annals of Telecommunications-annales des télécommunications
Annals of Telecommunications-annales des télécommunications, Springer, 2014, 69 (5-6), pp.331-343. ⟨10.1007/s12243-013-0369-4⟩
Annals of Telecommunications-annales des télécommunications, Springer, 2014, 69 (5-6), pp.331-343. ⟨10.1007/s12243-013-0369-4⟩
International audience; In this article, we present an algorithm to extract adaptive surfaces from anisotropic volumetric data. For example, this kind of data can be obtained from a set of segmented images, from the sampling of an implicit function o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::847f6a0dd9aad6f7c5f6251aca31efd5
https://doi.org/10.1007/s12243-013-0369-4
https://doi.org/10.1007/s12243-013-0369-4
Publikováno v:
Computers and Graphics
Computers and Graphics, Elsevier, 2011, 35 (1), pp.1-19
Computers and Graphics, Elsevier, 2011, 35 (1), pp.1-19
This paper presents a robust and blind watermarking algorithm for three-dimensional (3D) meshes. The watermarking primitive is an intrinsic 3D shape descriptor: the analytic and continuous geometric volume moment. During watermark embedding, the inpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57ede22e50e2709592be4eaa69a7cfe1
https://doi.org/10.1016/j.cag.2010.09.010
https://doi.org/10.1016/j.cag.2010.09.010
Publikováno v:
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2008, 8, 10, pp.1513-1527
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2008, 8, 10, pp.1513-1527
International audience; Three-dimensional (3-D) meshes have been used more and more in industrial, medical and entertainment applications during the last decade. Many researchers, from both the academic and the industrial sectors, have become aware o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3558d46626d042cdfc34ecdefdaf70ac
https://doi.org/10.1109/tmm.2008.2007350
https://doi.org/10.1109/tmm.2008.2007350
Publikováno v:
Computers and Graphics
Computers and Graphics, Elsevier, 2007, 3, 31, pp.480-492. ⟨10.1016/j.cag.2007.01.022⟩
Computers and Graphics, Elsevier, 2007, 3, 31, pp.480-492. ⟨10.1016/j.cag.2007.01.022⟩
International audience; This paper presents a robust non-blind watermarking scheme for subdivision surfaces. The algorithm works in the frequency domain, by modulating spectral coefficients of the subdivision control mesh. The compactness of the wate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6493846130df95d08591f0a3553cbbdd
https://doi.org/10.1016/j.cag.2007.01.022
https://doi.org/10.1016/j.cag.2007.01.022
Publikováno v:
Graphical Models
Graphical Models, Elsevier, 2014, 76 (6), pp.593-608. ⟨10.1016/j.gmod.2014.06.001⟩
Graphical Models, Elsevier, 2014, 76 (6), pp.593-608. ⟨10.1016/j.gmod.2014.06.001⟩
International audience; Volumetric datasets have already been used in multiple domains. Recent improvements in acquisition devices have boosted the size of available datasets. We present an out-of-core algorithm for iso-surface extraction from huge v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95e7f264476d4e1343f2ff33b8b1cd78
https://hal.archives-ouvertes.fr/hal-01016785
https://hal.archives-ouvertes.fr/hal-01016785