scholarly journals Evaluating Shape Alignment via Ensemble Visualization

2016 ◽  
Vol 36 (3) ◽  
pp. 60-71 ◽  
Author(s):  
Mukund Raj ◽  
Mahsa Mirzargar ◽  
J. Samuel Preston ◽  
Robert M. Kirby ◽  
Ross T. Whitaker
Keyword(s):  
Shape Alignment ◽  
Ensemble Visualization

Accuracy in breast shape alignment with 3D surface fitting algorithms

2009 ◽  
Vol 36 (4) ◽  
pp. 1193-1198 ◽  
Author(s):  
Marco Riboldi ◽  
David P. Gierga ◽  
George TY Chen ◽  
Guido Baroni
Keyword(s):  
Surface Fitting ◽  
Shape Alignment ◽  
3D Surface ◽  
Breast Shape

scholarly journals Future challenges for ensemble visualization

2014 ◽  
Vol 34 (3) ◽  
pp. 8-11 ◽  
Author(s):  
Harald Obermaier ◽  
Kenneth I. Joy
Keyword(s):  
Future Challenges ◽  
Ensemble Visualization

scholarly journals Computational geometric tools for quantitative comparison of locomotory behavior

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Matthew T. Stamps ◽  
Soo Go ◽  
Ajay S. Mathuru
Keyword(s):  
Animal Behavior ◽  
Quantitative Comparison ◽  
Proof Of Concept ◽  
Alignment Method ◽  
Shape Alignment ◽  
Locomotory Behavior ◽  
Lower Variability ◽  
Geometric Techniques ◽  
New Applications ◽  
Common Action

Abstract A fundamental challenge for behavioral neuroscientists is to accurately quantify (dis)similarities in animal behavior without excluding inherent variability present between individuals. We explored two new applications of curve and shape alignment techniques to address this issue. As a proof-of-concept we applied these methods to compare normal or alarmed behavior in pairs of medaka (Oryzias latipes). The curve alignment method we call Behavioral Distortion Distance (BDD) revealed that alarmed fish display less predictable swimming over time, even if individuals incorporate the same action patterns like immobility, sudden changes in swimming trajectory, or changing their position in the water column. The Conformal Spatiotemporal Distance (CSD) technique on the other hand revealed that, in spite of the unpredictability, alarmed individuals exhibit lower variability in overall swim patterns, possibly accounting for the widely held notion of “stereotypy” in alarm responses. More generally, we propose that these new applications of established computational geometric techniques are useful in combination to represent, compare, and quantify complex behaviors consisting of common action patterns that differ in duration, sequence, or frequency.

scholarly journals Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

2015 ◽  
Vol 8 (7) ◽  
pp. 2329-2353 ◽  
Author(s):  
M. Rautenhaus ◽  
M. Kern ◽  
A. Schäfler ◽  
R. Westermann
Keyword(s):  
Visual Analysis ◽  
Weather Forecasting ◽  
Spatial Perception ◽  
Three Dimensional ◽  
Atmospheric Model ◽  
Weather Forecasts ◽  
Research And Teaching ◽  
Grid Topology ◽  
Ensemble Visualization ◽  
The Impact

Abstract. We present "Met.3D", a new open-source tool for the interactive three-dimensional (3-D) visualization of numerical ensemble weather predictions. The tool has been developed to support weather forecasting during aircraft-based atmospheric field campaigns; however, it is applicable to further forecasting, research and teaching activities. Our work approaches challenging topics related to the visual analysis of numerical atmospheric model output – 3-D visualization, ensemble visualization and how both can be used in a meaningful way suited to weather forecasting. Met.3D builds a bridge from proven 2-D visualization methods commonly used in meteorology to 3-D visualization by combining both visualization types in a 3-D context. We address the issue of spatial perception in the 3-D view and present approaches to using the ensemble to allow the user to assess forecast uncertainty. Interactivity is key to our approach. Met.3D uses modern graphics technology to achieve interactive visualization on standard consumer hardware. The tool supports forecast data from the European Centre for Medium Range Weather Forecasts (ECMWF) and can operate directly on ECMWF hybrid sigma-pressure level grids. We describe the employed visualization algorithms, and analyse the impact of the ECMWF grid topology on computing 3-D ensemble statistical quantities. Our techniques are demonstrated with examples from the T-NAWDEX-Falcon 2012 (THORPEX – North Atlantic Waveguide and Downstream Impact Experiment) campaign.

scholarly journals Exploring ensemble visualization

2012 ◽  
Author(s):  
Madhura N. Phadke ◽  
Lifford Pinto ◽  
Oluwafemi Alabi ◽  
Jonathan Harter ◽  
Russell M. Taylor II ◽  
...  
Keyword(s):  
Ensemble Visualization
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