Results 11 to 20 of about 730,250 (172)
Reconstruction of tree branching structures from UAV-LiDAR data
Frontiers in Environmental Science, 2022 The reconstruction of tree branching structures is a longstanding problem in Computer Graphics which has been studied over several data sources, from photogrammetry point clouds to Terrestrial and Aerial Laser Imaging Detection and Ranging technology ...
José L. Cárdenas +5 more
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Anisotropic deformation for local shape control
Computational Visual Media, 2017 We present a novel approach to mesh deformation that enables simple context sensitive manipulation of 3D geometry. The method is based on locally anisotropic transformations and is extended to global control directions.
Matteo Colaianni +4 more
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IEEE Access, 2022 Anomaly detection in smart environments is important when dealing with rare events, which can be safety-critical to individuals or infrastructure. Safety-critical means in this case, that these events can be a threat to the safety of individuals (e.g.
Daniel Fahrmann +4 more
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Sensing Technology for Human Activity Recognition: A Comprehensive Survey
IEEE Access, 2020 Sensors are devices that quantify the physical aspects of the world around us. This ability is important to gain knowledge about human activities. Human Activity recognition plays an import role in people's everyday life.
Biying Fu +3 more
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A SERVICE-ORIENTED INDOOR POINT CLOUD PROCESSING PIPELINE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Visualization of point clouds plays an important role in understanding the context of the digital representation of the built environment. Modern commodity mobile devices (e.g., smartphones and tablets), are capable of capturing representations in the ...
V. Stojanovic +3 more
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AUTOMATIC FUSION OF PARTIAL RECONSTRUCTIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Novel image acquisition tools such as micro aerial vehicles (MAVs) in form of quad- or octo-rotor helicopters support the creation of 3D reconstructions with ground sampling distances below 1 cm.
A. Wendel +3 more
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Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact [PDF]
PeerJ Computer Science, 2021 Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Deep learning tries to achieve this by drawing inspiration from the learning of a human brain.
Jan Egger +5 more
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Tehnički Glasnik, 2018 In this article, the usage of matrices and matrix operations in computer graphics is shown. A brief overview of geometric transformations in computer graphics is given.
Nataša Lončarić +2 more
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Discrete graphical models -- an optimization perspective [PDF]
Foundations and Trends in Computer Graphics and Vision: Vol. 11:
No. 3-4, pp 160-429 (2019), 2020 This monograph is about discrete energy minimization for discrete graphical models. It considers graphical models, or, more precisely, maximum a posteriori inference for graphical models, purely as a combinatorial optimization problem. Modeling, applications, probabilistic interpretations and many other aspects are either ignored here or find their ...
arxiv +1 more source
Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso [PDF]
Journal of Computational and Graphical Statistics, 32(4),
1472-1487 (2023), 2021 We propose a new modeling framework for highly-multivariate spatial processes that synthesizes ideas from recent multiscale and spectral approaches with graphical models. The basis graphical lasso writes a univariate Gaussian process as a linear combination of basis functions weighted with entries of a Gaussian graphical vector whose graph is estimated
arxiv +1 more source