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Full-Text Articles in Graphics and Human Computer Interfaces

Institutional Research And Advanced Analytics, Mary Kathryn Starkey, Shelby Albers Jun 2017

Institutional Research And Advanced Analytics, Mary Kathryn Starkey, Shelby Albers

Research Data and Scholarly Communications Committee Workshops

Tableau empowers everyone to see and understand their data. The Institutional Research & Advanced Analytics (IRAA) team will deliver an engaging one-hour demonstration that covers the ins and outs of Tableau Desktop and Tableau Server. We will also show you University of Kentucky data that is currently available to you, as well as where to find and how to access said data.

The presentation slides are available by clicking the Download button on the right. The video and audio files of this workshop are listed as additional files below and are available for download.


Introduction To Gephi, Jesse Fagan May 2017

Introduction To Gephi, Jesse Fagan

Research Data and Scholarly Communications Committee Workshops

Gephi is a visualization and exploration software for graphs and networks. Think Photoshop, but for graph data. This session will provide an overview of the software, its features, and resources for further study. Gephi is open-source, free to download, and runs on Windows, Mac OS X, and Linux.

The presentation slides are available by clicking the Download button on the right. The video and audio files of this workshop are listed as the additional files below and are available for download.


Real-Time Capture And Rendering Of Physical Scene With An Efficiently Calibrated Rgb-D Camera Network, Po-Chang Su Jan 2017

Real-Time Capture And Rendering Of Physical Scene With An Efficiently Calibrated Rgb-D Camera Network, Po-Chang Su

Theses and Dissertations--Electrical and Computer Engineering

From object tracking to 3D reconstruction, RGB-Depth (RGB-D) camera networks play an increasingly important role in many vision and graphics applications. With the recent explosive growth of Augmented Reality (AR) and Virtual Reality (VR) platforms, utilizing camera RGB-D camera networks to capture and render dynamic physical space can enhance immersive experiences for users. To maximize coverage and minimize costs, practical applications often use a small number of RGB-D cameras and sparsely place them around the environment for data capturing. While sparse color camera networks have been studied for decades, the problems of extrinsic calibration of and rendering with sparse RGB-D …