Zobrazeno 1 - 10
of 345
pro vyhledávání: '"Torsten Sattler"'
Autor:
Martin Humenberger, Yohann Cabon, Noé Pion, Philippe Weinzaepfel, Donghwan Lee, Nicolas Guérin, Torsten Sattler, Gabriela Csurka
Publikováno v:
International Journal of Computer Vision. 130:1811-1836
Visual localization, i.e., camera pose estimation in a known scene, is a core component of technologies such as autonomous driving and augmented reality. State-of-the-art localization approaches often rely on image retrieval techniques for one of two
Autor:
Michael Bosse, Simon Lynen, Dror Aiger, Marc Pollefeys, Torsten Sattler, Roland Siegwart, Bernhard Zeisl, Joel A. Hesch
Publikováno v:
The International Journal of Robotics Research. 39:1061-1084
The overarching goals in image-based localization are scale, robustness, and speed. In recent years, approaches based on local features and sparse 3D point-cloud models have both dominated the benchmarks and seen successful real-world deployment. The
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197833
Novel view synthesis is a long-standing problem. In this work, we consider a variant of the problem where we are given only a few context views sparsely covering a scene or an object. The goal is to predict novel viewpoints in the scene, which requir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c976dd4261a3f19f8d4db2168bd3f33
https://doi.org/10.1007/978-3-031-19784-0_12
https://doi.org/10.1007/978-3-031-19784-0_12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::752cc11876fad5a270298cd684c614d2
https://doi.org/10.1007/978-3-031-20047-2_34
https://doi.org/10.1007/978-3-031-20047-2_34
Autor:
Gabriele Berton, Riccardo Mereu, Gabriele Trivigno, Carlo Masone, Gabriela Csurka, Torsten Sattler, Barbara Caputo
In this paper, we propose a new open-source benchmarking framework for Visual Geo-localization (VG) that allows to build, train, and test a wide range of commonly used architectures, with the flexibility to change individual components of a geo-local
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cab5a0d5c0e9316a7916d801287104b
http://hdl.handle.net/11583/2970714
http://hdl.handle.net/11583/2970714
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198267
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e86b64db8928eaade0a60c32955b043c
https://doi.org/10.1007/978-3-031-19827-4_7
https://doi.org/10.1007/978-3-031-19827-4_7
Publikováno v:
CVPR
CVPR:Conference on Computer Vision and Pattern Recognition 2021
CVPR:Conference on Computer Vision and Pattern Recognition 2021
The classical matching pipeline used for visual localization typically involves three steps: (i) local feature detection and description, (ii) feature matching, and (iii) outlier rejection. Recently emerged correspondence networks propose to perform
Publikováno v:
CVPR
IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE/CVF Conference on Computer Vision and Pattern Recognition
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
We introduce (HPS) Human POSEitioning System, a method to recover the full 3D pose of a human registered with a 3D scan of the surrounding environment using wearable sensors. Using IMUs attached at the body limbs and a head mounted camera looking out
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers