Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pierre Moulon"'
Publikováno v:
Image Processing On Line, Vol 6, Pp 89-113 (2016)
In a stereo image pair, the fundamental matrix encodes the rigidity constraint of the scene. It combines the internal parameters of both cameras (which can be the same) and their relative position and orientation. It associates to image points in one
Externí odkaz:
https://doaj.org/article/70065202a5334df6a459c3b5377a2ccd
Publikováno v:
Image Processing On Line, Vol 2, Pp 56-73 (2012)
The RANSAC algorithm (RANdom SAmple Consensus) is a robust method to estimate parameters of a model fitting the data, in presence of outliers among the data. Its random nature is due only to complexity considerations. It iteratively extracts a random
Externí odkaz:
https://doaj.org/article/5dc2afe95cc2487c963ffc7d1b15ae7c
Autor:
Kalil Traoré, Laurent Benoit, Laurent Froideval, Xavier Pellerin Le Bas, Christophe Conessa, Kevin Pedoja, Franck Garestier, Pierre Moulon
Publikováno v:
Photogrammetric Record
Photogrammetric Record, Wiley, 2019, 34 (168), pp.365-384. ⟨10.1111/phor.12297⟩
Photogrammetric Record, Wiley, 2019, 34 (168), pp.365-384. ⟨10.1111/phor.12297⟩
(IF 1.87; Q3); International audience; Structure‐from‐Motion (SfM) software and unmanned aerial vehicles (UAVs) have been increasingly adopted in the geosciences. The current mainstream generation of 3D models is still expensive as it relies on U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::493c83baee738eb415f146d343e86248
https://hal-normandie-univ.archives-ouvertes.fr/hal-02432366
https://hal-normandie-univ.archives-ouvertes.fr/hal-02432366
Publikováno v:
3DV
In this work we present a method to train a plane-aware convolutional neural network for dense depth and surface normal estimation as well as plane boundaries from a single indoor $360^\circ$ image. Using our proposed loss function, our network outpe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4ea2e892cbb61babb8a35961af76c99
http://arxiv.org/abs/1907.00939
http://arxiv.org/abs/1907.00939
Publikováno v:
1st Workshop on Reproducible Research in Pattern Recognition
1st Workshop on Reproducible Research in Pattern Recognition, Dec 2016, Cancun, Mexico. pp.60-74
Reproducible Research in Pattern Recognition ISBN: 9783319564135
RRPR@ICPR
1st Workshop on Reproducible Research in Pattern Recognition, Dec 2016, Cancun, Mexico. pp.60-74
Reproducible Research in Pattern Recognition ISBN: 9783319564135
RRPR@ICPR
International audience; The OpenMVG C++ library provides a vast collection of multiple-view geometry tools and algorithms to spread the usage of computer vision and structure-from-motion techniques. Close to the state-of-the-art in its domain, it pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cb9cc7ddebae745ea2846e0257a41f6
https://hal-enpc.archives-ouvertes.fr/hal-01497080
https://hal-enpc.archives-ouvertes.fr/hal-01497080
Publikováno v:
Proceedings of IEEE International Conference on Computer Vision
ICCV
ICCV, Dec 2013, Sydney, Australia
ICCV
ICCV, Dec 2013, Sydney, Australia
International audience; Multi-view structure from motion (SfM) estimates the position and orientation of pictures in a common 3D coordinate frame. When views are treated incrementally, this external calibration can be subject to drift, contrary to gl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62ce76c207c798af1e1aa4391a049bcc
https://hal-enpc.archives-ouvertes.fr/hal-00873504/document
https://hal-enpc.archives-ouvertes.fr/hal-00873504/document
Publikováno v:
Proceedings of the 11th Asian Conference on Computer Vision
ACCV 2012
ACCV 2012, Nov 2012, Daejeon, South Korea. pp.257-270, ⟨10.1007/978-3-642-37447-0_20⟩
Computer Vision – ACCV 2012 ISBN: 9783642374463
ACCV (4)
ACCV 2012
ACCV 2012, Nov 2012, Daejeon, South Korea. pp.257-270, ⟨10.1007/978-3-642-37447-0_20⟩
Computer Vision – ACCV 2012 ISBN: 9783642374463
ACCV (4)
International audience; Structure from Motion (SfM) algorithms take as input multi-view stereo images (along with internal calibration information) and yield a 3D point cloud and camera orientations/poses in a common 3D coordinate system. In the case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::829869cd0447bc6bca6d28ecb224195e
https://hal-enpc.archives-ouvertes.fr/hal-00769266/document
https://hal-enpc.archives-ouvertes.fr/hal-00769266/document
Publikováno v:
2005 1st International Conference on Computers, Communications, & Signal Processing with Special Track on Biomedical Engineering.
This paper describes a vision system to obtain the 3D trajectory of a moving target by stereovision. For our study, we chose to reconstruct the trajectory of a clay plate that is used in ball-trap. The plate's path can reach 60 meters in length. The