Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Delaunoy, Amaël"'
Autor:
Bochkovskii, Aleksei, Delaunoy, Amaël, Germain, Hugo, Santos, Marcel, Zhou, Yichao, Richter, Stephan R., Koltun, Vladlen
We present a foundation model for zero-shot metric monocular depth estimation. Our model, Depth Pro, synthesizes high-resolution depth maps with unparalleled sharpness and high-frequency details. The predictions are metric, with absolute scale, witho
Externí odkaz:
http://arxiv.org/abs/2410.02073
In this paper we propose a new approach to incrementally initialize a manifold surface for automatic 3D reconstruction from images. More precisely we focus on the automatic initialization of a 3D mesh as close as possible to the final solution; indee
Externí odkaz:
http://arxiv.org/abs/1604.06258
Autor:
Delaunoy, Amaël
Comprendre, analyser et modéliser l'environment 3D à partir d'images provenant de caméras et d'appareils photos est l'un des défis majeurs actuel de recherche en vision par ordinateur. Cette thèse s'interesse à plusieurs aspects géométriques
Externí odkaz:
http://www.theses.fr/2011GRENM069/document
Autor:
Delaunoy, Amaël1 Amael.Delaunoy@inrialpes.fr, Prados, Emmanuel1 Emmanuel.Prados@inrialpes.fr
Publikováno v:
International Journal of Computer Vision. Nov2011, Vol. 95 Issue 2, p100-123. 24p. 14 Diagrams, 2 Charts.
Autor:
Delaunoy, Amaël
Publikováno v:
Mathématiques générales [math.GM]. Université de Grenoble, 2011. Français. ⟨NNT : 2011GRENM069⟩
Understanding, analyzing and modeling the 3D world from 2D pictures and videos is probably one of the most exciting and challenging problem of computer vision. In this thesis, we address several geometric and photometric aspects to 3D surface reconst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3b7c7866bdca590bc5c76f16c72b79dd
https://theses.hal.science/tel-00654188v3
https://theses.hal.science/tel-00654188v3
Publikováno v:
Computer Vision - ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI; 2016, p667-683, 17p
Publikováno v:
Computer Vision - ACCV 2010 (9783642193088); 2011, p55-66, 12p
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision & Applications; 2009, p695-704, 10p
Autor:
Amaël Delaunoy, Marc Pollefeys
Publikováno v:
CVPR
Motivated by a Bayesian vision of the 3D multi-view reconstruction from images problem, we propose a dense 3D reconstruction technique that jointly refines the shape and the camera parameters of a scene by minimizing the photometric reprojection erro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1155167085926b6d1242ec148c3becbd
https://hal.science/hal-00985811
https://hal.science/hal-00985811