Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Stoiber, Manuel"'
Autor:
Ulmer, Maximilian, Durner, Maximilian, Sundermeyer, Martin, Stoiber, Manuel, Triebel, Rudolph
We present a novel technique to estimate the 6D pose of objects from single images where the 3D geometry of the object is only given approximately and not as a precise 3D model. To achieve this, we employ a dense 2D-to-3D correspondence predictor tha
Externí odkaz:
http://arxiv.org/abs/2303.13241
Autor:
Stoiber, Manuel, Elsayed, Mariam, Reichert, Anne E., Steidle, Florian, Lee, Dongheui, Triebel, Rudolph
In many applications of advanced robotic manipulation, six degrees of freedom (6DoF) object pose estimates are continuously required. In this work, we develop a multi-modality tracker that fuses information from visual appearance and geometry to esti
Externí odkaz:
http://arxiv.org/abs/2302.11458
Kinematic structures are very common in the real world. They range from simple articulated objects to complex mechanical systems. However, despite their relevance, most model-based 3D tracking methods only consider rigid objects. To overcome this lim
Externí odkaz:
http://arxiv.org/abs/2208.01502
Tracking objects in 3D space and predicting their 6DoF pose is an essential task in computer vision. State-of-the-art approaches often rely on object texture to tackle this problem. However, while they achieve impressive results, many objects do not
Externí odkaz:
http://arxiv.org/abs/2203.05334
Region-based methods have become increasingly popular for model-based, monocular 3D tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the-art results, most methods are computationally expensive, requiring sign
Externí odkaz:
http://arxiv.org/abs/2110.12715
Autor:
Stoiber, Manuel1,2 (AUTHOR) manuel.stoiber@dlr.de, Pfanne, Martin1 (AUTHOR), Strobl, Klaus H.1 (AUTHOR), Triebel, Rudolph1,2 (AUTHOR), Albu-Schäffer, Alin1,2 (AUTHOR)
Publikováno v:
International Journal of Computer Vision. Apr2022, Vol. 130 Issue 4, p1008-1030. 23p.
Autor:
Stoiber, Manuel, Pfanne, Martin, Strobl, Klaus, Triebel, Rudolph, Albu-Schäffer, Alin Olimpiu
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695316
ACCV (2)
ACCV (2)
We propose a novel, highly efficient sparse approach to region-based 6DoF object tracking that requires only a monocular RGB camera and the 3D object model. The key contribution of our work is a probabilistic model that considers image information sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df51acdea42eb10aba89405a11c70138
https://doi.org/10.1007/978-3-030-69532-3_40
https://doi.org/10.1007/978-3-030-69532-3_40
Akademický článek
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Autor:
Stoiber, Manuel, Schäfer, Mechthild
Kennzeichen eines "erfolgreichen" Bullies ( Schüler, die ihre Mitschüler wiederholt und systematisch schikanieren und dadurch Ressourcenkontrolle erreichen) wurden untersucht. Dazu wurden Daten zu Mitschülerrollen, Ressourcenkontrollstrategien und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______256::2dfc9d21c33e2f1283575dede6fb8337