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Scene Building

Scene Description

Data Visualization

Since 1970, the Imaging, Robotics and Intelligent Systems (IRIS) Laboratory at The University of Tennessee, Knoxville has been conducting research in the field of image processing. The laboratory's emphasis is currently on building 3D imaging systems. 3D imaging is the process of measuring, analyzing, and displaying multi-dimensional information. The 3D imaging process begins with sensors that make measurements of the real world and culminates the ability to visualize the data into a meaningful form. New technologies are also creating novel applications for 3D imaging in medicine, telecommunications, telerobotics, entertainment, and education. Many of these applications rely on a paradigm that tries to extend rather than mimic human capabilities; therefore, 3D imaging incorporates both the analysis and generation of visual data.

The IRIS Lab's current areas of research are in scene building, scene description, and data visualization. The combination of these different fields gives rise to robust, usable systems and advanced developments in the underlying technologies. The IRIS Lab has the rare privilege of boasting expertise in all of these areas. The pages that follow will show more specifically how we apply these various aspects of 3D imaging, either separately or in concert, to produce new technologies for our sponsors and relevant, satisfying areas of investigation for our students. Figure 1 presents an integration of all the above fields to build an imaging, robotics, and intelligent system. The sub-fields listed in Figure 1 are thoroughly described in the next sections. This integration starts with a Scene Building process that consists of capturing sensor measurements to integrate them into a unified 3D representation referred to as a Multi-modal Model. At this point, Multi-modal Models can be analyzed through a Scene Description process leading to an Object-based scene representation. Each object contains an optimal amount of information, so that it accurately describes the initial data. Additionally, each object is associated with a multi-resolution description, so the amount of information necessary to accurately represent the object at any level of detail can be computed. This entire process facilitates data transmission, manipulation, and display. Data Visualization aims at maximizing the level of interaction between the user and the data being displayed in a virtual reality environment.
 

Figure 1. Research topics addressed at the IRIS Lab: (1) Scene Building, (2) Scene Description, and (3) Data Visualization
 
National and International Collaborations
The IRIS Lab maintains an active academic exchange program with several universities, national laboratories, and governmental organizations
 

National

bulletComputer Science Department, The University of Tennessee, Knoxville
bulletImage Science and Machine Vision Group, Oak Ridge National Laboratory
bulletLawrence Livermore National Laboratory
bulletLos Alamos National Laboratory
bulletMechanical, Aerospace, and Engineering Science Department, The University of Tennessee, Knoxville
bulletNational Automotive Center
bulletPacific Northwest Engineering Laboratories
bulletRadian Corporation
bulletRobotics and Process System Division, Oak Ridge National Laboratory
bulletSandia National Laboratory
bulletTank-automotive and Armament Command (TACOM)
bulletUniversity of Florida
bulletUniversity of Michigan
bulletUniversity of New Mexico
bulletUniversity of Texas
bulletUS Army Night Vision Laboratories
bulletUS Department of Energy

International

bulletENIT, University of Tunis II, Tunisia
bulletIP Laboratory, Chung-Ang University, Seoul, Korea
bulletLE2I Laboratory, The University of Burgundy, France
 

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