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pro vyhledávání: '"Czarnowski, Jan"'
Autor:
Czarnowski, Jan
A method of estimating subject specific muscle parameters of musculoskeletal models of elite athletes (skiers) was sought. Subject specific models are necessary due to large differences in general anatomy and physical performance of elite athletes re
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189992
The best way to combine the results of deep learning with standard 3D reconstruction pipelines remains an open problem. While systems that pass the output of traditional multi-view stereo approaches to a network for regularisation or refinement curre
Externí odkaz:
http://arxiv.org/abs/2207.13464
While the keypoint-based maps created by sparse monocular simultaneous localisation and mapping (SLAM) systems are useful for camera tracking, dense 3D reconstructions may be desired for many robotic tasks. Solutions involving depth cameras are limit
Externí odkaz:
http://arxiv.org/abs/2207.12244
We propose a novel dense mapping framework for sparse visual SLAM systems which leverages a compact scene representation. State-of-the-art sparse visual SLAM systems provide accurate and reliable estimates of the camera trajectory and locations of la
Externí odkaz:
http://arxiv.org/abs/2107.08994
The ability to estimate rich geometry and camera motion from monocular imagery is fundamental to future interactive robotics and augmented reality applications. Different approaches have been proposed that vary in scene geometry representation (spars
Externí odkaz:
http://arxiv.org/abs/2001.05049
Sum-of-squares objective functions are very popular in computer vision algorithms. However, these objective functions are not always easy to optimize. The underlying assumptions made by solvers are often not satisfied and many problems are inherently
Externí odkaz:
http://arxiv.org/abs/1809.02966
The representation of geometry in real-time 3D perception systems continues to be a critical research issue. Dense maps capture complete surface shape and can be augmented with semantic labels, but their high dimensionality makes them computationally
Externí odkaz:
http://arxiv.org/abs/1804.00874
We argue that robust dense SLAM systems can make valuable use of the layers of features coming from a standard CNN as a pyramid of `semantic texture' which is suitable for dense alignment while being much more robust to nuisance factors such as light
Externí odkaz:
http://arxiv.org/abs/1708.08844
Publikováno v:
In Automation in Construction October 2018 94:179-190
Autor:
Czarnowski, Jan
The presence of robotic products in our lives is steadily increasing, with the first commercial home and industrial robots becoming available on the market. While existing systems mostly rely on robust spatial navigation in order to fulfil their role
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca2d75f14f9741aa2610b5e1cab2d992
http://hdl.handle.net/10044/1/82178
http://hdl.handle.net/10044/1/82178