Career Interests:
Research and teaching in digital image processing, computer vision, and computer architecture. Areas of particular interest are automated and interactive object recognition, three dimensional structure and motion estimation in visible imagery and radar, feature extraction in remote sensing, and applications of image processing and computer vision in science and industry.
Education:
M.S.:
BS:
Employment History
Senior Group Engineer, Lockheed Martin Astronautics November 1995 to present
Staff Engineer, Lockheed Martin Astronautics October 1990 to November 1995
Graduate Research Assistant, University of Illinois August 1981 to October 1990
Undergraduate Hourly, University of Illinois July 1977 to August 1981
Research Experience
Interactive Exploitation
Tools for Image Analysts
A small classified program and the INIMEX program, both managed
by Dr. Debrunner, have incorporated components of the ARAGTAP and
MSTAR model-based automatic target recognition (ATR) systems into
interactive target recognition tools for the intelligence imagery
analyst. The focus-of-attention (FOA) modules were incorporated
as a screening tool which alerted the analyst to image locations
containing likely targets. The prediction and matching portions
of the hypothesize and test module will be adapted to use mixed
human-machine control to guide the search. The user can select
the exact orientation, configuration, and articulation of the
model to be predicted, and will receive feedback in the form of a
simulated image and a mismatch map, showing the regions of poor
agreement between the simulation and the real image. In addition,
since it is often difficult for inexperienced image analysts to
relate features in a SAR image to object parts, the system
provides visual tie-back from the simulated image to an optical
rendering of the target.
Model-Based ATR in Synthetic
Aperture Radar
The ARAGTAP and MSTAR programs develop ATR systems which use an
on-line target image simulation capability to predict the target
in any possible orientation, configuration, and articulation.
This provides a complete and nearly continuous coverage of the
space of target images without the cost of storing sample images
at all possible target orientations, configurations, and
articulations. The system designs consisted of a
focus-of-attention module to select image regions containing
potential targets, an indexing module to produce a set of
possible target types, and a predict-extract-match module to
refine the target hypotheses provided by the indexer. Dr.
Debrunners role on these programs has been to support
feature extraction, system design, evaluation strategies,
geometric modeling of the SAR sensor, and indexer design.
Image Understanding for 3D
Model-Based Fixed-Site Exploitation
Under the MOSTAR program, Dr. Debrunner and his team incorporated
context information available from 3D site models into the ATR
process to improve ATR performance. Until its completion in June
of 1996, Dr. Debrunner also managed the Denver component
(focusing on SAR exploitation) of the DARPA/ORD RADIUS II
program. The goal of this program was to demonstrate that mature
image understanding technology together with 3D site models can
aid image analysts in the exploitation of overhead imagery. The
final version of the RADIUS testbed was delivered and
successfully demonstrated to the government in July of 1996.
Under the D03R internal research and development (IRAD) project
at Lockheed Martin, Dr. Debrunner investigated applications of
ARAGTAP target recognition technology in other sensor domains,
developed an image-to-3D-model registration system for synthetic
aperture radar imagery.
Geometric Modeling of
Imaging Sensors
Any algorithm which seeks to exploit 3D models of objects in
imagery needs a mathematical model of the projection from 3D
space to 2D image space. Dr. Debrunner developed a such a model
of a synthetic aperture radar sensor which was incorporated into
the RADIUS testbed under the MOSTAR contract and was later
enhanced under the INIMEX project.
3D Motion and Structure
Estimation
Dr. Debrunner's Ph.D. research addressed the problem of
recovering the 3D structure (i.e. shape) and motion of moving
objects from a long sequence of images. The work involved
tracking feature points over many images, partitioning the
feature points into sets corresponding to the different objects,
and calculating the structure and motion parameters of the
objects. This information could be used by an object recognition
system to identify particular objects, or by a robot control
system to position the robot's gripper for grasping the object.
Image Processing Algorithms
for Pyramid Architectures
Dr. Debrunner's M.S. research involved design, analysis and
simulation of computer vision and image processing related
algorithms for pyramid architecture multi-processors.
Computer Music
As a member of the Computer Music group at the Computer-Based
Education Research Laboratory, University of Illinois, Dr.
Debrunner designed and built the electronics for a
velocity-sensitive 88-key music keyboard. This included designing
circuitry for reading the optical switches which detected key
motion and circuitry for a Z80-based controller and interface
board. It also involved writing the Z80 assembly code which
detected the key changes and communicated with the Intel 8080 in
the host PLATO V terminal. In addition, Dr. Debrunner contributed
to the preliminary design of a sum-of-sines synthesizer and wrote
assembly language and Tutor language utility programs for the IMS
music editing and synthesis system.
Teaching Experience
Adjunct Professor Fall 1996,
Fall 1997
Colorado School of Mines
Taught a graduate course on computer vision (EGES 512) based on
Dr. William Hoffs course supplemented with additional
topics including projective geometry and motion factorization. In
fall of 1997 the teaching was shared with Dr. Hoff.
Instructor Fall 1993
Martin Marietta (now Lockheed Martin) Evening Institute
Developed and taught an advanced course titled Computer Vision
and Image Processing (much of the computer vision material
was taken from Dr. William Hoffs course at University of
Colorado at Denver). The course covered a wide range of topics in
image processing and computer vision including compression,
sampling, filtering, enhancement, tomographic imaging, feature
extraction, edge detection, segmentation, motion, stereo, 3D
imaging, and object recognition.
Management Experience
INIMEX Program Manager July
1997 to present
Managed technical effort to develop an image analysts
workstation. Responsible for all aspects of running the program,
including budgeting, supervising a staff of five, managing a
subcontractor, presenting plans and results to government
sponsors, and technical direction.
MOSTAR Program Manager August
1995 to October 1997
In response to a sole source solicitation from the RADIUS
customer, wrote a proposal and negotiated a statement of work.
Managed all aspects of the contract, including soliciting,
negotiating, and managing a subcontract, supervising a staff of
three, holding reviews with the government, budgeting, and
planning. The government customer rated the team's performance as
excellent in a formal evaluation at the conclusion of the
contract.
RADIUS Phase II Program
Manager February 1995 to June 1996
Managed a subcontract from Lockheed Martin Management and
Data Systems. Responsibilities included supervision of a
technical staff of two, budgeting, planning and holding reviews
with the customer.
IRAD Principal Investigator
May 1993 to December 1996
Managed the D03R internal research and development (IRAD)
project supervising a technical staff of up to two, presenting
results to Lockheed Martin management twice yearly, and
justifying continued funding.
Classified Project Technical
Lead and Program Manager July 1993 to July 1994
Functioned as technical lead for most of project, and took
over as manager for the last three months of the project, with
responsibility for technical direction, supervision of a staff of
three, budgeting, planning, and presentations to the government
customer.
Proposal Experience
Contributed to numerous winning proposals at Lockheed Martin including:
INIMEX proposal
Responsible for the technical volume. This proposal described
plans for an image analysts tool which incorporates many
advanced capabilities including automatic target recognition and
interactive target recognition tools based on MSTAR technologies.
A government reviewer remarked that this was the best proposal he
had seen in a long time.
RADIUS II proposal
Managed the proposal effort in support of Lockheed Martin
Management and Data Systems, including a demonstration of
capabilities shortly after submission. This lead to an award on
RADIUS II (for which I managed the subcontract) and later to a
sole source solicitation from the same customer in 1995 for the
MOSTAR proposal.
GOLDPAN 93 proposal
Responsible for portions of the technical volume of a proposal to
incorporate ATR technologies into a field demonstration.
Professional Activities
Associate Editor for the journal Pattern Recognition (1994 to present)
Member of the IEEE Computer Society (1983 to present)
Reviewer for several conferences and journals (1984 to present) including:
IEEE International Conference on Computer Vision
IEEE Computer Vision and Pattern Recognition Conference
Organizer of the first Lockheed Martin Conference on Intelligence Imagery Analysis
Hobbies
Underwater Hockey (represented U.S. in world competition, South Africa, 1996).
Woodworking and remodeling.
Hiking, bicycling, and cross-county skiing.