Camera control in computer graphics
Recent progress in modelling, animation and rendering means that rich, high fidelity virtual
worlds are found in many interactive graphics applications. However, the viewer's …
worlds are found in many interactive graphics applications. However, the viewer's …
An image-based approach to extreme scale in situ visualization and analysis
Extreme scale scientific simulations are leading a charge to exascale computation, and data
analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O …
analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O …
In situ visualization for large-scale combustion simulations
As scientific supercomputing moves toward petascale and exascale levels, in situ
visualization stands out as a scalable way for scientists to view the data their simulations …
visualization stands out as a scalable way for scientists to view the data their simulations …
Transfer learning and deep feature extraction for planktonic image data sets
EC Orenstein, O Beijbom - 2017 IEEE Winter Conference on …, 2017 - ieeexplore.ieee.org
Studying marine plankton is critical to assessing the health of the world's oceans. To sample
these important populations, oceanographers are increasingly using specially engineered in …
these important populations, oceanographers are increasingly using specially engineered in …
Multilevel agglomerative edge bundling for visualizing large graphs
Graphs are often used to encapsulate relationships between objects. Node-link diagrams,
commonly used to visualize graphs, suffer from visual clutter on large graphs. Edge bundling …
commonly used to visualize graphs, suffer from visual clutter on large graphs. Edge bundling …
An information-theoretic framework for visualization
M Chen, H Jäenicke - IEEE transactions on visualization and …, 2010 - ieeexplore.ieee.org
In this paper, we examine whether or not information theory can be one of the theoretic
frameworks for visualization. We formulate concepts and measurements for qualifying visual …
frameworks for visualization. We formulate concepts and measurements for qualifying visual …
Importance-driven focus of attention
This paper introduces a concept for automatic focusing on features within a volumetric data
set. The user selects a focus, ie, object of interest, from a set of pre-defined features. Our …
set. The user selects a focus, ie, object of interest, from a set of pre-defined features. Our …
An information-theoretic framework for flow visualization
The process of visualization can be seen as a visual communication channel where the
input to the channel is the raw data, and the output is the result of a visualization algorithm …
input to the channel is the raw data, and the output is the result of a visualization algorithm …
A feature-driven approach to locating optimal viewpoints for volume visualization
Optimal viewpoint selection is an important task because it considerably influences the
amount of information contained in the 2D projected images of 3D objects, and thus …
amount of information contained in the 2D projected images of 3D objects, and thus …
A unified information-theoretic framework for viewpoint selection and mesh saliency
Viewpoint selection is an emerging area in computer graphics with applications in fields
such as scene exploration, image-based modeling, and volume visualization. In particular …
such as scene exploration, image-based modeling, and volume visualization. In particular …