Dr. Christopher D. Shaw Profile

Dr. Christopher D. Shaw

at Simon Fraser Univ

SPIE Involvement:

Author

Proceedings Article | 17 March 2015 Paper

Theory review and interaction design space of body image and body schema (BIBS) for embodied cognition in virtual reality

Xin Tong, Diane Gromala, Chris Shaw, Owen Williamson, Ozgun Iscen

Proceedings Volume 9392, 93920D (2015) https://doi.org/10.1117/12.2083441

KEYWORDS: Cognition, Virtual reality, Visualization, Consciousness, Human-machine interfaces, Sensors, Brain, Neurons, Image processing, Mirrors

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Proceedings Article | 3 February 2014 Paper

FilooT: a visualization tool for exploring genomic data

Mahshid Zeinaly, Mina Soltangheis, Chris Shaw

Proceedings Volume 9017, 901702 (2014) https://doi.org/10.1117/12.2042589

KEYWORDS: Visualization, Visual analytics, Neodymium, Bioinformatics, Genetics, Process modeling, Zoom lenses, Information visualization, Biological research, Computer programming

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Proceedings Article | 3 February 2014 Paper

The CZSaw notes case study

Eric Lee, Ankit Gupta, David Darvill, John Dill, Chris Shaw, Robert Woodbury

Proceedings Volume 9017, 901706 (2014) https://doi.org/10.1117/12.2041318

KEYWORDS: Analytical research, Visualization, Visual analytics, Zoom lenses, Data modeling, Data visualization, Data analysis, Data mining, Data integration, Computing systems

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Proceedings Article | 4 February 2013 Paper

Does interactive animation control improve exploratory data analysis of animated trend visualization?

Felwa Abukhodair, Bernhard Riecke, Halil Erhan, Chris Shaw

Proceedings Volume 8654, 86540I (2013) https://doi.org/10.1117/12.2001874

KEYWORDS: Visualization, Data analysis, Visual analytics, Information visualization, Error analysis, Computer graphics, Internet, Databases, Complex systems, Data visualization

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Proceedings Article | 24 January 2011 Paper

EmailTime: visual analytics and statistics for temporal email

Minoo Erfani Joorabchi, Ji-Dong Yim, Christopher Shaw

Proceedings Volume 7868, 78680Q (2011) https://doi.org/10.1117/12.871712

KEYWORDS: Visualization, Visual analytics, Receivers, Social networks, Information visualization, Telecommunications, Visibility, Statistical analysis, Data analysis, Data mining

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Proceedings Article | 3 February 2010 Paper

The interplays among technology and content, immersant and VE

Meehae Song, Diane Gromala, Chris Shaw, Steven Barnes

Proceedings Volume 7525, 75250B (2010) https://doi.org/10.1117/12.839444

KEYWORDS: Virtual reality, Visualization, Heart, Stereoscopic displays, 3D displays, Medicine, Biometrics, Skin, Head-mounted displays

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Proceedings Article | 18 January 2010 Paper

Visualizing search results: evaluating an iconic visualization

M. Erfani Joorabchi, A. Dalvandi, H. Seifi, L. Bartram, C. Shaw

Proceedings Volume 7530, 75300G (2010) https://doi.org/10.1117/12.840329

KEYWORDS: Visualization, Interfaces, Human-machine interfaces, Data analysis, Digital cameras, Databases, Visual analytics, Electronic imaging, Current controlled current source, Multimedia

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Proceedings Article | 20 January 2009 Paper

Visualizing conserved gene location across microbe genomes

Chris Shaw

Proceedings Volume 7243, 724306 (2009) https://doi.org/10.1117/12.811912

KEYWORDS: Visualization, Organisms, Biological research, Visual analytics, Databases, Microorganisms, Analytical research, Proteins, Information visualization, Zoom lenses

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Proceedings Article | 20 January 2009 Paper

BrainFrame: a knowledge visualization system for the neurosciences

Steven Barnes, Chris Shaw

Proceedings Volume 7243, 72430F (2009) https://doi.org/10.1117/12.812290

KEYWORDS: Neuroscience, Visualization, Brain, Knowledge management, Databases, Information visualization, Organisms, Biology, Nervous system, Knowledge acquisition

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Proceedings Article | 20 January 2009 Paper

Musician Map: visualizing music collaborations over time

Ji-Dong Yim, Chris Shaw, Lyn Bartram

Proceedings Volume 7243, 72430A (2009) https://doi.org/10.1117/12.812377

KEYWORDS: Visualization, Databases, Social networks, Human-machine interfaces, Information visualization, Visual analytics, Blood, Java, Data analysis, Electronic imaging

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Proceedings Article | 30 July 2002 Paper

Building the visual Earth

William Ribarsky, Christopher Shaw, Zachary Wartell, Nickolas Faust

Proceedings Volume 4744, (2002) https://doi.org/10.1117/12.488277

KEYWORDS: Visualization, Data modeling, Radar, Data acquisition, Databases, 3D modeling, Sensors, Doppler effect, Visual process modeling, Human-machine interfaces

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Proceedings Article | 30 July 2002 Paper

Organization and simplification of high-resolution 3D city facades

Mitchell Parry, William Ribarsky, Christopher Shaw, Justin Jang, Nickolas Faust

Proceedings Volume 4744, (2002) https://doi.org/10.1117/12.488278

KEYWORDS: Buildings, Visualization, Optical spheres, Solid modeling, Data modeling, 3D modeling, Visual process modeling, 3D image processing, Computer aided design, Data storage

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Proceedings Article | 23 August 2001 Paper

Hierarchical storage and visualization of real-time 3D data

Mitchell Parry, Brendan Hannigan, William Ribarsky, Christopher Shaw, Nickolas Faust

Proceedings Volume 4368, (2001) https://doi.org/10.1117/12.438126

KEYWORDS: Data acquisition, Visualization, Radar, Doppler effect, Volume rendering, Data storage, 3D optical data storage, 3D displays, Data archive systems, Data centers

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In this paper 'real-time 3D data' refers to volumetric data that are acquired and used as they are produced. Large scale, real-time data are difficult to store and analyze, either visually or by some other means, within the time frames required. Yet this is often quite important to do when decision-makers must receive and quickly act on new information. An example is weather forecasting, where forecasters must act on information received on severe storm development and movement. To meet the real-time requirements crude heuristics are often used to gather information from the original data. This is in spite of the fact that better and better real-time data are becoming available, the full use of which could significantly improve decisions. The work reported here addresses these issues by providing comprehensive data acquisition, analysis, and storage components with time budgets for the data management of each component. These components are put into a global geospatial hierarchical structure. The volumetric data are placed into this global structure, and it is shown how levels of detail can be derived and used within this structure. A volumetric visualization procedure is developed that conforms to the hierarchical structure and uses the levels of detail. These general methods are focused on the specific case of the VGIS global hierarchical structure and rendering system,. The real-time data considered are from collections of time- dependent 3D Doppler radars although the methods described here apply more generally to time-dependent volumetric data. This paper reports on the design and construction of the above hierarchical structures and volumetric visualizations. It also reports result for the specific application of 3D Doppler radar displayed over photo textured terrain height fields. Results are presented results for the specific application of 3D Doppler radar displayed over photo textured terrain height fields. Results are presented for display of time-dependent fields as the user visually navigates and explores the geospatial database.

Proceedings Article | 23 August 2001 Paper

Real-time weather data on terrain

Christopher Shaw, Frank Jiang, R. Mitchell Parry, Beth Plale, Anthony Wasilewski, William Ribarsky, Nickolas Faust

Proceedings Volume 4368, (2001) https://doi.org/10.1117/12.438109

KEYWORDS: Visualization, Radar, Doppler effect, Data acquisition, 3D visualizations, Analytical research, Visual analytics, Weather forecasting, Buildings, Data integration

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Proceedings Article | 14 May 1998 Paper

Data visualization using automatic perceptually motivated shapes

Christopher Shaw, David Ebert, James Kukla, Amen Zwa, Ian Soboroff, D. Roberts

Proceedings Volume 3298, (1998) https://doi.org/10.1117/12.309543

KEYWORDS: Visualization, Associative arrays, Opacity, Visual analytics, Information visualization, Stars, Scientific visualization, Data centers, Transparency, Data visualization

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