Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Bernhard Eberhardt"'
Autor:
Kristina Enes, Hassan Errami, Moritz Wolter, Tim Krake, Bernhard Eberhardt, Andreas Weber, Jörg Zimmermann
Publikováno v:
Sensors, Vol 20, Iss 4, p 976 (2020)
Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and explainability of the network and its results. We propose to use Dynamic Mo
Externí odkaz:
https://doaj.org/article/b14c6e807f6446728fbf118dfb2f3aed
Publikováno v:
Journal of Mathematical Imaging and Vision. 64:364-378
A large number of modern video background modeling algorithms deal with computational costly minimization problems that often need parameter adjustments. While in most cases spatial and temporal constraints are added artificially to the minimization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dba26b77c2ee58f509caad8647bf0759
https://doi.org/10.1007/s10851-022-01068-0
https://doi.org/10.1007/s10851-022-01068-0
Publikováno v:
IEEE transactions on visualization and computer graphics.
Frequency-based decomposition of time series data is used in many visualization applications. Most of these decomposition methods (such as Fourier transform or singular spectrum analysis) only provide interaction via pre- and post-processing, but no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62e072f250fea5d4aae8e7254a1a2af5
https://pubmed.ncbi.nlm.nih.gov/36170398
https://pubmed.ncbi.nlm.nih.gov/36170398
Publikováno v:
ACM Transactions on Graphics. 38:1-11
We present a novel technique to correct errors introduced by the discretization of a fluid body when animating it with smoothed particle hydrodynamics (SPH). Our approach is based on the Shepard correction, which reduces the interpolation errors from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b071cbc74101c2aa6d9e571faba3f95
https://doi.org/10.1145/3355089.3356503
https://doi.org/10.1145/3355089.3356503
We present a method to simulate fluid flow on evolving surfaces, e.g., an oil film on a water surface. Given an animated surface (e.g., extracted from a particle-based fluid simulation) in three-dimensional space, we add a second simulation on this b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4868d054b562a0cfe0e9898d3a7166f7
Publikováno v:
Visual Informatics, Vol 5, Iss 3, Pp 15-27 (2021)
Dynamic Mode Decomposition (DMD) is a data-driven and model-free decomposition technique. It is suitable for revealing spatio-temporal features of both numerically and experimentally acquired data. Conceptually, DMD performs a low-dimensional spectra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a36baf59ec789acd426b15b794698b5
Publikováno v:
Color and Imaging Conference. 26:67-74
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58d6ee4c7a6d483fe5d00f7612a83fcd
https://doi.org/10.2352/issn.2169-2629.2018.26.67
https://doi.org/10.2352/issn.2169-2629.2018.26.67
Publikováno v:
Computer Vision – ACCV 2018 ISBN: 9783030208929
ACCV (3)
ACCV (3)
Spectral imaging has many uses in the field of conservation of cultural heritage, medical imaging, etc. It collects spectral information at each location of an image plane as an image cube. Among various approaches, snapshot multispectral imaging tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::444e65b2e9696e0bdf95756fad98ebe2
https://doi.org/10.1007/978-3-030-20893-6_43
https://doi.org/10.1007/978-3-030-20893-6_43
Publikováno v:
The Visual Computer. 32:791-800
We present a direct raytracing method for implicitly described fluid surfaces that takes into account the effects of capillary solid coupling at the boundaries. The method is independent of the underlying fluid simulation method and solely based on d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd1822a73c9bcbe5029d6d846ccac28c
https://doi.org/10.1007/s00371-016-1258-4
https://doi.org/10.1007/s00371-016-1258-4
Autor:
Hassan Errami, Bernhard Eberhardt, Moritz Wolter, Tim Krake, Jörg Zimmermann, Andreas Weber, Kristina Enes
Publikováno v:
Sensors, Vol 20, Iss 4, p 976 (2020)
Sensors
Volume 20
Issue 4
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 4
Sensors (Basel, Switzerland)
Various neural network based methods are capable of anticipating human body motions from data for a short period of time. What these methods lack are the interpretability and explainability of the network and its results. We propose to use Dynamic Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f74c3fff85d6e67139fceaf6882adb
https://doi.org/10.3390/s20040976
https://doi.org/10.3390/s20040976