Obscured Object Recognition For An ATR Application
G. Eichmann, M. Jankowski, S. Basu, M. Stojancic, Leonid M. Roytman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
A common and mainly unsolved problem in image processing is occlusion. Occlusion occurs when one or more objects obstruct the sensor's view. In this paper, three methods; a neural network, a superresolving non-parametric predictor and an Extended-Post Context-free Grammar syntactic pattern recognizer are used to generate the missing data. To illustrate these methods, their application to the reconstruction of obscured Roman characters are presented.