Real-time adaptive sampling with the fan algorithm

1988 ◽  
Vol 26 (6) ◽  
pp. 565-573 ◽  
Author(s):  
L. N. Bohs ◽  
R. C. Barr
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Fan Algorithm

Prototype for real-time adaptive sampling using the fan algorithm

1988 ◽  
Vol 26 (6) ◽  
pp. 574-583 ◽  
Author(s):  
L. N. Bohs ◽  
R. C. Barr
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Fan Algorithm

Coastal Ocean Modeling and Observation Program: Real-time Adaptive Sampling Networks

1999 ◽  
Author(s):  
Scott M. Glenn ◽  
Dale B. Haidvogel ◽  
Oscar M. Schofield
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
Observation Program

Real-time subsurface scattering with single pass variance-guided adaptive importance sampling

2020 ◽  
Vol 3 (1) ◽  
pp. 1-21
Author(s):  
Tiantian Xie ◽  
Marc Olano ◽  
Brian Karis ◽  
Krzysztof Narkowicz
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Monte Carlo Sampling ◽  
Diffusion Profile ◽  
Correct Result ◽  
Subsurface Scattering ◽  
Stochastic Sampling ◽  
Light Gradient ◽  
Temporal Variance ◽  
Importance Function

In real-time applications, it is difficult to simulate realistic subsurface scattering with differing degrees translucency. Burley's reflectance approximation by empirically fitting the diffusion profile as a whole makes it possible to achieve realistic looking subsurface scattering for different translucent materials in screen space. However, achieving a physically correct result requires real-time Monte Carlo sampling of the analytic importance function per pixel per frame, which seems prohibitive to achieve. In this paper, we propose an approximation of the importance function that can be evaluated in real-time. Since subsurface scattering is more pronounced in certain regions (e.g., with light gradient change), we propose an adaptive sampling method based on temporal variance to lower the required number of samples. We propose a one phase adaptive sampling pass that is unbiased, and able to adapt to scene changes due to motion and lighting. To further improve the quality, we explore temporal reuse with a guiding pass prior to the final temporal anti-aliasing (TAA) phase that further improves the quality. Our local guiding pass does not constrain the TAA implementation, and only requires one additional texture to be passed between frames. Our proposed variance-guided algorithm has the potential to make stochastic sampling algorithm effective for real-time rendering.

scholarly journals Irregular Morphing for Real-Time Rendering of Large Terrain

2016 ◽  
Vol XLI-B3 ◽  
pp. 755-762 ◽  
Author(s):  
Sid'Ali Kalem ◽  
Assia Kourgli
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Approximation Error ◽  
Surface Characteristics ◽  
Remote Visualization ◽  
Terrain Rendering ◽  
Real Time Processing ◽  
Tile Size ◽  
Multi Resolution Analysis ◽  
Screen Space

The following paper proposes an alternative approach to the real-time adaptive triangulation problem. A new region-based multi-resolution approach for terrain rendering is described which improves on-the-fly the distribution of the density of triangles inside the tile after selecting appropriate Level-Of-Detail by an adaptive sampling. This proposed approach organizes the heightmap into a QuadTree of tiles that are processed independently. This technique combines the benefits of both Triangular Irregular Network approach and region-based multi-resolution approach by improving the distribution of the density of triangles inside the tile. Our technique morphs the initial regular grid of the tile to deformed grid in order to minimize approximation error. The proposed technique strives to combine large tile size and real-time processing while guaranteeing an upper bound on the screen space error. Thus, this approach adapts terrain rendering process to local surface characteristics and enables on-the-fly handling of large amount of terrain data. Morphing is based-on the multi-resolution wavelet analysis. The use of the D2WT multi-resolution analysis of the terrain height-map speeds up processing and permits to satisfy an interactive terrain rendering. Tests and experiments demonstrate that Haar B-Spline wavelet, well known for its properties of localization and its compact support, is suitable for fast and accurate redistribution. Such technique could be exploited in client-server architecture for supporting interactive high-quality remote visualization of very large terrain.

Dynamic real-time deformations using space & time adaptive sampling

2001 ◽  
Author(s):  
Gilles Debunne ◽  
Mathieu Desbrun ◽  
Marie-Paule Cani ◽  
Alan H. Barr
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Space Time

scholarly journals Enabling metagenomic surveillance for bacterial tick-borne pathogens using nanopore sequencing with adaptive sampling

2021 ◽  
Author(s):  
Evan J. Kipp ◽  
Laramie L. Lindsey ◽  
Benedict S. Khoo ◽  
Christopher Faulk ◽  
Jonathan D. Oliver ◽  
...  
Keyword(s):  
Real Time ◽  
Single Molecule ◽  
Adaptive Sampling ◽  
Sequence Data ◽  
Ixodes Scapularis ◽  
Fold Increase ◽  
Borrelia Miyamotoi ◽  
Nucleotide Sequence Data ◽  
Oxford Nanopore ◽  
Sequencing Platforms

Technological and computational advancements in the fields of genomics and bioinformatics are providing exciting new opportunities for pathogen discovery and surveillance. In particular, single-molecule nucleotide sequence data originating from Oxford Nanopore Technologies (ONT) sequencing platforms can be bioinformatically leveraged, in real-time, for enhanced biosurveillance of a vast array of zoonoses. The recently released nanopore adaptive sampling (NAS) pipeline facilitates immediate mapping of individual nucleotide molecules (i.e., DNA, cDNA, and RNA) to a given reference as each molecule is sequenced. User-defined thresholds then allow for the retention or rejection of specific molecules, informed by the real-time reference mapping results, as they are physically passing through a given sequencing nanopore. Here, we show how NAS can be used to selectively sequence entire genomes of bacterial tick-borne pathogens circulating in wild populations of the blacklegged tick vector, Ixodes scapularis. The NAS method provided a two-fold increase in targeted pathogen sequences, successfully enriching for Borrelia (Borreliella) burgdorferi s.s.; Borrelia (Borrelia) miyamotoi; Anaplasma phagocytophilum; and Ehrlichia muris eauclairensis genomic DNA within our I. scapularis samples. Our results indicate that NAS has strong potential for real-time sequence-based pathogen surveillance.

Adaptive sampling for real-time rendering of large terrain based on B-spline wavelet

2017 ◽  
Vol 26 (3) ◽  
pp. 033011
Author(s):  
Sid Ali Kalem ◽  
Assia Kourgli
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Spline Wavelet ◽  
B Spline

Development of Regional Coastal Ocean Observatories and the Potential Benefits to Marine Sanctuaries

2003 ◽  
Vol 37 (1) ◽  
pp. 54-67 ◽  
Author(s):  
Oscar Schofield ◽  
Scott Glenn ◽  
Paul W. Bissett ◽  
Thomas K. Frazer ◽  
Debora Iglesias-Rodriguez ◽  
...  
Keyword(s):  
Real Time ◽  
Adaptive Sampling ◽  
Marine Biology ◽  
Rapid Development ◽  
Autonomous Underwater Vehicles ◽  
Surface Current ◽  
The United States ◽  
Time Data ◽  
Real Time Data ◽  
Potential Benefits

A network of coastal observatories is being built around the United States. While the motivations for developing these systems do not originate from marine sanctuaries per se, the sanctuaries stand to gain an unprecedented opportunity to benefit from real-time data and nowcasting/forecasting models. The construction of the observatories is being fueled by the rapid development in three enabling observational technologies. These technologies include (1) data acquisition systems that track the international constellation of IR and ocean color satellites; (2) nested grids multi-static SeaSonde surface current radars; and (3) a growing fleet of autonomous underwater vehicles. These observational assets are coupled to nowcast/forecast data assimilative models. These systems will allow the mean behavior in marine ecosystems to be defined while also providing real-time data that will allow adaptive sampling. The ability to adaptively sample the environment will allow scientists to make shrewd decisions about when and where to sample. Given this, developing the new approaches to measure critical biological processes and the geographic boundaries of those processes should be a key focus for the marine biology community. This will alter how scientists approach scientific questions in coastal waters.

An adaptive sampling strategy for quasi real time crack characterization on eddy current testing signals

2019 ◽  
Vol 103 ◽  
pp. 154-165 ◽  
Author(s):  
Shamim Ahmed ◽  
Christophe Reboud ◽  
Pierre-Emile Lhuillier ◽  
Pierre Calmon ◽  
Roberto Miorelli
Keyword(s):  
Real Time ◽  
Eddy Current ◽  
Adaptive Sampling ◽  
Sampling Strategy ◽  
Eddy Current Testing ◽  
Current Testing
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