scholarly journals Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations

Author(s):  
Jianxiong Shen ◽  
Adria Ruiz ◽  
Antonio Agudo ◽  
Francesc Moreno-Noguer
2018 ◽  
Author(s):  
David John Stracuzzi ◽  
Michael Christopher Darling ◽  
Matthew Gregor Peterson ◽  
Maximillian Gene Chen

Author(s):  
Cristina Portalés ◽  
Manolo Pérez ◽  
Pablo Casanova-Salas ◽  
Jesús Gimeno

Abstract3D modelling of man-made objects is widely used in the cultural heritage sector, among others. It is relevant for its documentation, dissemination and preservation. Related to historical fabrics, weaves and weaving techniques are still mostly represented in forms of 2D graphics and textual descriptions. However, complex geometries are difficult to represent in such forms, hindering the way this legacy is transmitted to new generations. In this paper, we present the design and implementation of SILKNOW’s Virtual Loom, an interactive tool aimed to document, preserve and represent in interactive 3D forms historical weaves and weaving techniques of silk fabrics, dating from the 15th to the 19th centuries. To that end, our tool only requires an image of a historical fabric. Departing from this image, the tool automatically subtracts the design, and allows the user to apply different weaves and weaving techniques. In its current version, the tool embeds five traditional weaving techniques, 39 weaves and six types of yarns, which have been defined thanks to close collaboration of experts in computer graphics, art history and historical fabrics. Additionally, users can change the color of yarns and produce different 3D representations for a given fabric, which are interactive in real time. In this paper, we bring the details of the design and implementation of this tool, focusing on the input data, the strategy to process images, the 3D modelling of yarns, the definition of weaves and weaving techniques and the graphical user interface. In the results section, we show some examples of image analysis in order to subtract the design of historical fabrics, and then we provide 3D representations for all the considered weaving techniques, combining different types of yarns.


NeuroImage ◽  
1998 ◽  
Vol 7 (4) ◽  
pp. S796
Author(s):  
C. Barillot ◽  
D. Schwartz ◽  
G. Le Goualher ◽  
X. Morandi ◽  
B. Gibaud
Keyword(s):  

2021 ◽  
Vol 33 (1) ◽  
pp. 116-127 ◽  
Author(s):  
Cuneyt Gurcan Akcora ◽  
Yulia R. Gel ◽  
Murat Kantarcioglu ◽  
Vyacheslav Lyubchich ◽  
Bhavani Thuraisingham

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 545
Author(s):  
Alexis K. Mills ◽  
Peter Ruggiero ◽  
John P. Bolte ◽  
Katherine A. Serafin ◽  
Eva Lipiec

Coastal communities face heightened risk to coastal flooding and erosion hazards due to sea-level rise, changing storminess patterns, and evolving human development pressures. Incorporating uncertainty associated with both climate change and the range of possible adaptation measures is essential for projecting the evolving exposure to coastal flooding and erosion, as well as associated community vulnerability through time. A spatially explicit agent-based modeling platform, that provides a scenario-based framework for examining interactions between human and natural systems across a landscape, was used in Tillamook County, OR (USA) to explore strategies that may reduce exposure to coastal hazards within the context of climate change. Probabilistic simulations of extreme water levels were used to assess the impacts of variable projections of sea-level rise and storminess both as individual climate drivers and under a range of integrated climate change scenarios through the end of the century. Additionally, policy drivers, modeled both as individual management decisions and as policies integrated within adaptation scenarios, captured variability in possible human response to increased hazards risk. The relative contribution of variability and uncertainty from both climate change and policy decisions was quantified using three stakeholder relevant landscape performance metrics related to flooding, erosion, and recreational beach accessibility. In general, policy decisions introduced greater variability and uncertainty to the impacts of coastal hazards than climate change uncertainty. Quantifying uncertainty across a suite of coproduced performance metrics can help determine the relative impact of management decisions on the adaptive capacity of communities under future climate scenarios.


2006 ◽  
Vol 26 (5) ◽  
pp. 489-511 ◽  
Author(s):  
David N. Barnett ◽  
Simon J. Brown ◽  
James M. Murphy ◽  
David M. H. Sexton ◽  
Mark J. Webb

Author(s):  
Walker H. Land ◽  
J. David Schaffer

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