Surface Reconstruction from 3D Line Segments

Pierre Alain Langlois; Alexandre Boulch; Renaud Marlet

doi:10.1109/3DV.2019.00067

Surface Reconstruction from 3D Line Segments

Pierre Alain Langlois
, Alexandre Boulch
, Renaud Marlet

Université Paris-Est
Université Paris-Saclay
Valeo

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We present a novel method for watertight piecewise-planar surface reconstruction from 3D line segments with visibility information. First, planes are extracted by a novel RANSAC approach for line segments that allows multiple shape support. Then, each 3D cell of a plane arrangement is labeled full or empty based on line attachment to planes, visibility and regularization. Experiments show the robustness to sparse input data, noise and outliers.

langue originale	Anglais
titre	Proceedings - 2019 International Conference on 3D Vision, 3DV 2019
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	553-563
Nombre de pages	11
ISBN (Electronique)	9781728131313
Les DOIs	https://doi.org/10.1109/3DV.2019.00067
état	Publié - 1 sept. 2019
Modification externe	Oui
Evénement	7th International Conference on 3D Vision, 3DV 2019 - Quebec, Canada Durée: 15 sept. 2019 → 18 sept. 2019

Série de publications

Nom	Proceedings - 2019 International Conference on 3D Vision, 3DV 2019

Une conférence

Une conférence	7th International Conference on 3D Vision, 3DV 2019
Pays/Territoire	Canada
La ville	Quebec
période	15/09/19 → 18/09/19

Accès au document

10.1109/3DV.2019.00067

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@inproceedings{f7b3caec63364357874a9874c93ad91a,

title = "Surface Reconstruction from 3D Line Segments",

abstract = "In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We present a novel method for watertight piecewise-planar surface reconstruction from 3D line segments with visibility information. First, planes are extracted by a novel RANSAC approach for line segments that allows multiple shape support. Then, each 3D cell of a plane arrangement is labeled full or empty based on line attachment to planes, visibility and regularization. Experiments show the robustness to sparse input data, noise and outliers.",

keywords = "line, multi view, photogrammetry, piecewise planar, reconstruction, watertight",

author = "Langlois, \{Pierre Alain\} and Alexandre Boulch and Renaud Marlet",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th International Conference on 3D Vision, 3DV 2019 ; Conference date: 15-09-2019 Through 18-09-2019",

year = "2019",

month = sep,

day = "1",

doi = "10.1109/3DV.2019.00067",

language = "English",

series = "Proceedings - 2019 International Conference on 3D Vision, 3DV 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "553--563",

booktitle = "Proceedings - 2019 International Conference on 3D Vision, 3DV 2019",

}

Langlois, PA, Boulch, A & Marlet, R 2019, Surface Reconstruction from 3D Line Segments. Dans Proceedings - 2019 International Conference on 3D Vision, 3DV 2019., 8885913, Proceedings - 2019 International Conference on 3D Vision, 3DV 2019, Institute of Electrical and Electronics Engineers Inc., p. 553-563, 7th International Conference on 3D Vision, 3DV 2019, Quebec, Canada, 15/09/19. https://doi.org/10.1109/3DV.2019.00067

Surface Reconstruction from 3D Line Segments. / Langlois, Pierre Alain; Boulch, Alexandre; Marlet, Renaud.
Proceedings - 2019 International Conference on 3D Vision, 3DV 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 553-563 8885913 (Proceedings - 2019 International Conference on 3D Vision, 3DV 2019).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - Surface Reconstruction from 3D Line Segments

AU - Langlois, Pierre Alain

AU - Boulch, Alexandre

AU - Marlet, Renaud

PY - 2019/9/1

Y1 - 2019/9/1

N2 - In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We present a novel method for watertight piecewise-planar surface reconstruction from 3D line segments with visibility information. First, planes are extracted by a novel RANSAC approach for line segments that allows multiple shape support. Then, each 3D cell of a plane arrangement is labeled full or empty based on line attachment to planes, visibility and regularization. Experiments show the robustness to sparse input data, noise and outliers.

AB - In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We present a novel method for watertight piecewise-planar surface reconstruction from 3D line segments with visibility information. First, planes are extracted by a novel RANSAC approach for line segments that allows multiple shape support. Then, each 3D cell of a plane arrangement is labeled full or empty based on line attachment to planes, visibility and regularization. Experiments show the robustness to sparse input data, noise and outliers.

KW - line

KW - multi view

KW - photogrammetry

KW - piecewise planar

KW - reconstruction

KW - watertight

UR - https://www.scopus.com/pages/publications/85075012218

U2 - 10.1109/3DV.2019.00067

DO - 10.1109/3DV.2019.00067

M3 - Conference contribution

AN - SCOPUS:85075012218

T3 - Proceedings - 2019 International Conference on 3D Vision, 3DV 2019

SP - 553

EP - 563

BT - Proceedings - 2019 International Conference on 3D Vision, 3DV 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on 3D Vision, 3DV 2019

Y2 - 15 September 2019 through 18 September 2019

ER -

Surface Reconstruction from 3D Line Segments

Résumé

Série de publications

Une conférence

Accès au document

Autres fichiers et liens

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