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pro vyhledávání: '"Toft, Carl"'
Autor:
Jafarzadeh, Ara, Antequera, Manuel Lopez, Gargallo, Pau, Kuang, Yubin, Toft, Carl, Kahl, Fredrik, Sattler, Torsten
Visual localization is the problem of estimating the position and orientation from which a given image (or a sequence of images) is taken in a known scene. It is an important part of a wide range of computer vision and robotics applications, from sel
Externí odkaz:
http://arxiv.org/abs/2109.04527
Autor:
Sarlin, Paul-Edouard, Unagar, Ajaykumar, Larsson, Måns, Germain, Hugo, Toft, Carl, Larsson, Viktor, Pollefeys, Marc, Lepetit, Vincent, Hammarstrand, Lars, Kahl, Fredrik, Sattler, Torsten
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like poses or 3D points, from an input image. This either fails to generalize to new viewpoints
Externí odkaz:
http://arxiv.org/abs/2103.09213
Good local features improve the robustness of many 3D re-localization and multi-view reconstruction pipelines. The problem is that viewing angle and distance severely impact the recognizability of a local feature. Attempts to improve appearance invar
Externí odkaz:
http://arxiv.org/abs/2008.09497
Autor:
Larsson, Måns, Stenborg, Erik, Toft, Carl, Hammarstrand, Lars, Sattler, Torsten, Kahl, Fredrik
Long-term visual localization is the problem of estimating the camera pose of a given query image in a scene whose appearance changes over time. It is an important problem in practice, for example, encountered in autonomous driving. In order to gain
Externí odkaz:
http://arxiv.org/abs/1908.06387
Robust cross-seasonal localization is one of the major challenges in long-term visual navigation of autonomous vehicles. In this paper, we exploit recent advances in semantic segmentation of images, i.e., where each pixel is assigned a label related
Externí odkaz:
http://arxiv.org/abs/1801.05269
Autor:
Sattler, Torsten, Maddern, Will, Toft, Carl, Torii, Akihiko, Hammarstrand, Lars, Stenborg, Erik, Safari, Daniel, Okutomi, Masatoshi, Pollefeys, Marc, Sivic, Josef, Kahl, Fredrik, Pajdla, Tomas
Visual localization enables autonomous vehicles to navigate in their surroundings and augmented reality applications to link virtual to real worlds. Practical visual localization approaches need to be robust to a wide variety of viewing condition, in
Externí odkaz:
http://arxiv.org/abs/1707.09092
Autor:
Hermansson, Tomas, Vajedi, Simon, Forsberg, Tobias, Ekstedt, Fredrik, Kressin, Jonas, Toft, Carl, Carlson, Johan S.
Publikováno v:
In Procedia CIRP 2016 43:280-285
Akademický článek
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