Dr. Han-Wei Shen Profile

Dr. Han-Wei Shen

at Ohio State Univ

SPIE Involvement:

Author

Proceedings Article | 3 February 2014 Paper

Evaluation of stream surfaces using error quantification metrics

Ayan Biswas, Han-Wei Shen

Proceedings Volume 9017, 90170Z (2014) https://doi.org/10.1117/12.2036465

KEYWORDS: Error analysis, Visualization, Numerical integration, Visual analytics, Computer simulations, Discretization errors, Data analysis, Electronic imaging, Analytical research, Current controlled current source

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Proceedings Article | 4 February 2013 Paper

Stereo frame decomposition for error-constrained remote visualization

Steven Martin, Han-Wei Shen

Proceedings Volume 8654, 86540A (2013) https://doi.org/10.1117/12.2002848

KEYWORDS: Visualization, Eye, Video, Computer programming, Cameras, Video coding, Image compression, Visual analytics, Video compression, Color difference

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Proceedings Article | 25 January 2012 Paper

A self-adaptive technique for visualizing geospatial data in 3D with minimum occlusion

Abon Chaudhuri, Han-Wei Shen

Proceedings Volume 8294, 82940I (2012) https://doi.org/10.1117/12.912258

KEYWORDS: Visualization, Distortion, 3D displays, Information fusion, Information visualization, Video, Data processing, Mirrors, Data hiding, Visual analytics

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Proceedings Article | 18 January 2010 Paper

Flow Web: a graph based user interface for 3D flow field exploration

Lijie Xu, Han-Wei Shen

Proceedings Volume 7530, 75300F (2010) https://doi.org/10.1117/12.838659

KEYWORDS: Human-machine interfaces, Particles, Visualization, 3D modeling, 3D visualizations, Inspection, Data modeling, Visual analytics, 3D displays, Algorithm development

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While there have been intensive efforts in developing better 3D flow visualization techniques, little attention has been paid to the design of better user interfaces and more effective data exploration work flow. In this paper, we propose a novel graph-based user interface called Flow Web to enable more systematic explorations of 3D flow data. The Flow Web is a node-link graph that is constructed to highlight the essential flow structures where a node represents a region in the field and a link connects two nodes if there exist particles traveling between the regions. The direction of an edge implies the flow path, and the weight of an edge indicates the number of particles traveling through the connected nodes. Hierarchical flow webs are created by splitting or merging nodes and edges to allow for easy understanding of the underlying flow structures. To draw the Flow Web, we adopt force based graph drawing algorithms to minimize edge crossings, and use a hierarchical layout to facilitate the study of flow patterns step by step. The Flow Web also supports user queries to the properties of nodes and links. Examples of the queries for node properties include the degrees, complexity, and some associated physical attributes such as velocity magnitude. Queries for edges include weights, flow path lengths, existence of circles and so on. It is also possible to combine multiple queries using operators such as and , or, not. The FlowWeb supports several types of user interactions. For instance, the user can select nodes from the subgraph returned by a query and inspect the nodes with more details at different levels of detail. There are multiple advantages of using the graph-based user interface. One is that the user can identify regions of interest much more easily since, unlike inspecting 3D regions, there is very little occlusion. It is also much more convenient for the user to query statistical information about the nodes and links at different levels of detail. With the Flow Web, it becomes easier for the user to log and track the progress of data exploration which is crucial for exploring large data sets. We demonstrate how to construct and draw the Flow Web effectively, and how to query the Flow Web to retrieve useful information from the data. Case studies are provided to demonstrate the exploration process.

Proceedings Article | 29 January 2007 Paper

Incorporating highlighting animations into static visualizations

Jonathan Woodring, Han-Wei Shen

Proceedings Volume 6495, 649503 (2007) https://doi.org/10.1117/12.706318

KEYWORDS: Opacity, Visualization, Clouds, Modulation, Composites, Matrices, Associative arrays, Scientific visualization, Volume rendering, Visual analytics

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Proceedings Article | 16 January 2006 Paper

View-dependent multi-resolutional flow texture advection

Liya Li, Han-Wei Shen

Proceedings Volume 6060, 606003 (2006) https://doi.org/10.1117/12.650347

KEYWORDS: Particles, Visualization, Image resolution, Convolution, Zoom lenses, OpenGL, Volume rendering, Lithium, 3D displays, Spatial coherence

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Proceedings Article | 4 June 2004 Paper

Visualization and exploration of spatial probability density functions: a clustering-based approach

Udeepta Bordoloi, David Kao, Han-Wei Shen

Proceedings Volume 5295, (2004) https://doi.org/10.1117/12.539250

KEYWORDS: Visualization, Landsat, Data analysis, Error analysis, Information visualization, Image visualization, Roads, Computer simulations, Vegetation, Earth observing sensors

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Showing 5 of 7 publications

Conference Committee Involvement (2)

Visualization and Data Analysis 2012

23 January 2012 | Burlingame, California, United States

Visualization and Data Analysis 2011

24 January 2011 | San Francisco Airport, California, United States

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