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pro vyhledávání: '"Facil, Jose M."'
Estimating a scene reconstruction and the camera motion from in-body videos is challenging due to several factors, e.g. the deformation of in-body cavities or the lack of texture. In this paper we present Endo-Depth-and-Motion, a pipeline that estima
Externí odkaz:
http://arxiv.org/abs/2103.16525
Autor:
Facil, Jose M., Ummenhofer, Benjamin, Zhou, Huizhong, Montesano, Luis, Brox, Thomas, Civera, Javier
Single-view depth estimation suffers from the problem that a network trained on images from one camera does not generalize to images taken with a different camera model. Thus, changing the camera model requires collecting an entirely new training dat
Externí odkaz:
http://arxiv.org/abs/1904.02028
Autor:
Fernandez-Labrador, Clara, Facil, Jose M., Perez-Yus, Alejandro, Demonceaux, Cédric, Civera, Javier, Guerrero, Jose J.
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among the most relevant ones, a major part of the state-of-the-art methods ma
Externí odkaz:
http://arxiv.org/abs/1903.08094
Visual place recognition is particularly challenging when places suffer changes in its appearance. Such changes are indeed common, e.g., due to weather, night/day or seasons. In this paper we leverage on recent research using deep networks, and explo
Externí odkaz:
http://arxiv.org/abs/1902.09516
Autor:
Fernandez-Labrador, Clara, Facil, Jose M., Perez-Yus, Alejandro, Demonceaux, Cedric, Guerrero, Jose J.
We propose a novel FCN able to work with omnidirectional images that outputs accurate probability maps representing the main structure of indoor scenes, which is able to generalize on different data. Our approach handles occlusions and recovers compl
Externí odkaz:
http://arxiv.org/abs/1808.09879
Single-view place recognition, that we can define as finding an image that corresponds to the same place as a given query image, is a key capability for autonomous navigation and mapping. Although there has been a considerable amount of research in t
Externí odkaz:
http://arxiv.org/abs/1808.06516
Publikováno v:
IEEE Robotics and Automation Letters ( Volume: 3, Issue: 4, Oct. 2018 )
The assumption of scene rigidity is typical in SLAM algorithms. Such a strong assumption limits the use of most visual SLAM systems in populated real-world environments, which are the target of several relevant applications like service robotics or a
Externí odkaz:
http://arxiv.org/abs/1806.05620
Dense and accurate 3D mapping from a monocular sequence is a key technology for several applications and still an open research area. This paper leverages recent results on single-view CNN-based depth estimation and fuses them with multi-view depth e
Externí odkaz:
http://arxiv.org/abs/1611.07245
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