|
Home
IRIS Links
*
News
Current
Projects
Events
Overview
Scene
Building
Scene
Description
Data
Visualization
People
Faculty
Research
Staff
Current
Students
Grad.
Assistants
Former
Students
Resources
Facilities
Equipment
Sponsors
Collaborations
National
International
Publications
Papers
Books
*
CDs/DVDs
*
Theses
Academics
Opportunities
Contact Us
Maps
* Password
required
| |
|
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
 | Computer Science Department, The
University of Tennessee, Knoxville |
 | Image Science and Machine Vision
Group, Oak Ridge National Laboratory |
 | Lawrence Livermore National
Laboratory |
 | Los Alamos National Laboratory
|
 | Mechanical, Aerospace, and
Engineering Science Department, The University of Tennessee, Knoxville
|
 | National Automotive Center
|
 | Pacific Northwest Engineering
Laboratories |
 | Radian Corporation |
 | Robotics and Process System
Division, Oak Ridge National Laboratory |
 | Sandia National Laboratory
|
 | Tank-automotive and Armament
Command (TACOM) |
 | University of Florida |
 | University of Michigan |
 | University of New Mexico
|
 | University of Texas |
 | US Army Night Vision Laboratories
|
 | US Department of Energy
|
International
 | ENIT, University of Tunis II,
Tunisia |
 | IP Laboratory, Chung-Ang
University, Seoul, Korea |
 | LE2I Laboratory, The University of
Burgundy, France |
|
|