Výsledky vyhledávání - "Laurent Caraffa"

EVALUATING SURFACE MESH RECONSTRUCTION OF OPEN SCENES

Autor: Y. Marchand, Bruno Vallet, Laurent Caraffa

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://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd68a098528e6cd9ba72a469d73d5940
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/369/2021/isprs-archives-XLIII-B2-2021-369-2021.pdf

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PROVABLY CONSISTENT DISTRIBUTED DELAUNAY TRIANGULATION

Autor: Murat Yirci, Pooran Memari, Mathieu Brédif, Laurent Caraffa

Publikováno v: International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Annals)
ISPRS Congress
ISPRS Congress, Aug 2020, Nice, France. pp.195-202, ⟨10.5194/isprs-annals-V-2-2020-195-2020⟩
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2020, Pp 195-202 (2020)

This paper deals with the distributed computation of Delaunay triangulations of massive point sets, mainly motivated by the needs of a scalable out-of-core surface reconstruction workflow from massive urban LIDAR datasets. Such a data often correspon

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4abeac87ab23cf0d3299c94ca49e913
https://doi.org/10.5194/isprs-annals-v-2-2020-195-2020

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Tile & Merge: Distributed Delaunay Triangulations for Cloud Computing

Autor: Murat Yirci, Pooran Memari, Laurent Caraffa, Mathieu Brédif

Publikováno v: 2019 IEEE International Conference on Big Data (Big Data)
IEEE Big Data 2019
IEEE Big Data 2019, Dec 2019, Los Angeles, United States. ⟨10.1109/BigData47090.2019.9006534⟩
IEEE BigData

International audience; Motivated by the needs of a scalable out-of-core surface reconstruction algorithm available on the cloud, this paper addresses the computation of distributed Delaunay triangulations of massive point sets. The proposed algorith

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b0b80ad30c6a9a33175ae88aebb3fbf
https://hal.archives-ouvertes.fr/hal-02535021

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PIECEWISE-PLANAR APPROXIMATION OF LARGE 3D DATA AS GRAPH-STRUCTURED OPTIMIZATION

Autor: Bruno Vallet, Loic Landrieu, Laurent Caraffa, Stephane Guinard

Publikováno v: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019, IV-2/W5, pp.365-372. ⟨10.5194/isprs-annals-IV-2-W5-365-2019⟩
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::9187d10f5b77b28091a1295133e2a1f5
https://hal.archives-ouvertes.fr/hal-02178134

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Daytime fog detection and density estimation with entropy minimization

Autor: Laurent Caraffa, Jean-Philippe Tarel

Publikováno v: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3, Pp 25-31 (2014)

Fog disturbs the proper image processing in many outdoor observation tools. For instance, fog reduces the visibility of obstacles in vehicle driving applications. Usually, the estimation of the amount of fog in the scene image allows to greatly impro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc4d1d5fa63072a152aa7944f73726e
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3/25/2014/isprsannals-II-3-25-2014.pdf

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3D watertight mesh generation with uncertainties from ubiquitous data

Autor: Mathieu Brédif, Bruno Vallet, Laurent Caraffa

Publikováno v: Asian Conference on Computer Vision (ACCV)
Asian Conference on Computer Vision (ACCV), Nov 2016, Taipei, Taiwan. pp.377--391, ⟨10.1007/978-3-319-54190-7_23⟩
Computer Vision – ACCV 2016 ISBN: 9783319541891
ACCV (4)

International audience; In this paper, we propose a generic framework for watertight mesh generation with uncertainties that provides a confidence measure on each reconstructed mesh triangle. Its input is a set of vision-based or Lidar-based 3D measu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b337e5e4f63518d627f167f73d4d309d
https://hal.archives-ouvertes.fr/hal-01882625

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Vision Enhancement in Homogeneous and Heterogeneous Fog

Autor: Aurelien Cord, Houssam Halmaoui, Laurent Caraffa, Nicolas Hautiere, J-P Tarel, Dominique Gruyer

Publikováno v: IEEE Intelligent Transportation Systems Magazine
IEEE Intelligent Transportation Systems Magazine, IEEE, 2012, Vision in inclement weather, 4 (2), pp.6-20. ⟨10.1109/MITS.2012.2189969⟩

International audience; One source of accidents when driving a vehicle is the presence of fog. Fog fades the colors and reduces the contrasts in the scene with respect to their distances from the driver. Various camera-based Advanced Driver Assistanc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c26eb9afa5cbcf5699f4cb2bdb9c334
https://doi.org/10.1109/mits.2012.2189969

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Extending α-expansion to a larger set of regularization functions

Autor: Mathias Paget, Jean-Philippe Tarel, Laurent Caraffa

Publikováno v: ICIP

Many problems of image processing lead to the minimization of an energy, which is a function of one or several given images, with respect to a binary or multi-label image. When this energy is made of unary data terms and of pairwise regularization te

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8bcd482a26e24430c273911d59f0333
https://doi.org/10.1109/icip.2015.7350960

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3D octree based watertight mesh generation from ubiquitous data

Autor: Bruno Vallet, Mathieu Brédif, Laurent Caraffa

Publikováno v: ISPRS Geospatial Week 2015, GeoBigData workshop
ISPRS Geospatial Week 2015, GeoBigData workshop, 2015, La Grande Motte, France. pp.613--617, ⟨10.5194/isprsarchives-XL-3-W3-613-2015⟩
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W3, Pp 613-617 (2015)

Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain an interesting solution for a first step surface reconstruction. In this paper, we propose a generic framework for a octree cell based mesh generation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bce7736b49ac2cf0b80fffd154670e3
https://hal.archives-ouvertes.fr/hal-01882668

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The Guided Bilateral Filter: When the Joint/Cross Bilateral Filter Becomes Robust

Autor: Jean-Philippe Tarel, Pierre Charbonnier, Laurent Caraffa

Publikováno v: IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, 24 (4), pp 1199-1208. ⟨10.1109/TIP.2015.2389617⟩

The bilateral filter and its variants such as the Joint/Cross bilateral filter are well known edge-preserving image smoothing tools used in many applications. The reason of this success is its simple definition and the possibility of many adaptations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8837e47a39783ae4fdd6b12f94333800
https://hal.archives-ouvertes.fr/hal-01215837

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