Pattern-Theoretic Foundations of Automatic Target Recognition in Clutter
This work is funded by the Air
Force Office of Scientific
Research under Jon Sjogren’s program on Signals,
Communication, and Surveillance.
Our goal is to apply
as formulated by applied
problems of identifying targets in cluttered scenes. This effort
leverages legacy work by the PI and others conducted as part of the
Center for Imaging Science, founded by
Miller (originally at
Johns Hopkins University).
- As one big PDF file:
- Split into three parts:
(part 1, 4.8 MB)
(part 2, 7.4 MB)
(part 3, 9.2 MB)
- Text files of the report body:
(a file Microsoft Word seems happy with, but not TextMate)
(a file TextMate seems happy with, but not Microsoft Word)
- A Mathematical Theory of Automatic Target Recognition
invited talk at the Workshop on Quantum Algorithms for Signal, Image,
and Data Processing, UCSD, 7-9 Dec. 2004. It contains animations
and is hence best viewed in “View Show” mode. (I also showed the
Example Jump-Diffusion Process movie given below.)
- Target Recognition in Cluttered Infrared Scenes via Pattern Theoretic
Representations and Jump-Diffusion Processes
presented at the AFOSR Program Review,
Princeton Univ., June 2003.
It contains animations and is hence best viewed in the
“View Show” mode.
The powerpoint file references the following movies, which
are best played in an external player such as Quicktime that lets you manually
step through frames:
- Prof. Aaron Lanterman
- Jonathan Morris (MS/PhD student, joined 8/03)
Last updated 9/10/2007.