<title>Wide-baseline synthetic stereo imagery for human expert training</title>

Abstract

Wide-baseline three-dimensional, stereoscopic imaging is being investigated at ARL as an aid to the separation of targets from clutter during operator-assisted target acquisition. Preliminary experimental results at ARL [1] indicate that false alarms are decreased and the probability of detection is increased.In this paper we will present a program to produce both infrared and visible band synthetic stereoscopic imagery as well as a methodology to evaluate its usefulness for target detection and clutter rejection. Preliminary images are presented, and qualitatively examined and evaluated