17 June 1996 Target recognition based on a computational vision model
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Abstract
A simulation of human pattern recognition is outlined which classifies objects based on outputs of a computational vision model, called the Georgia Tech Vision (GTV) model. It is shown that the simulation is able to identify high- level features of military targets, and that identification of high-level features can be used as a tool for recognizing targets. The results suggest that the computational vision model will simplify the task of simulating target recognition by providing a 'front-end' that simulates the basic features that human observes use to recognize targets.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Theodore J. Doll, Theodore J. Doll, Katharine L. Schlag, Katharine L. Schlag, Shane W. McWhorter, Shane W. McWhorter, David E. Schmieder, David E. Schmieder, } "Target recognition based on a computational vision model", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); doi: 10.1117/12.243026; https://doi.org/10.1117/12.243026
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