Target recognition based on a computational vision model

Theodore J. Doll; Katharine L. Schlag; Shane W. McWhorter; David E. Schmieder

doi:10.1117/12.243026

17 June 1996 Target recognition based on a computational vision model

Theodore J. Doll, Katharine L. Schlag, Shane W. McWhorter, David E. Schmieder

Proceedings Volume 2742, Targets and Backgrounds: Characterization and Representation II; (1996) https://doi.org/10.1117/12.243026
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Theodore J. Doll, Katharine L. Schlag, Shane W. McWhorter, and David E. Schmieder "Target recognition based on a computational vision model", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); https://doi.org/10.1117/12.243026

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