Obscured Object Recognition For An ATR Application

G. Eichmann; M. Jankowski; S. Basu; M. Stojancic; L. Roytman

doi:10.1117/12.960454

5 September 1989 Obscured Object Recognition For An ATR Application

G. Eichmann, M. Jankowski, S. Basu, M. Stojancic, L. Roytman

Proceedings Volume 1099, Advances in Image Compression and Automatic Target Recognition; (1989) https://doi.org/10.1117/12.960454
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

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.

Citation Download Citation

G. Eichmann, M. Jankowski, S. Basu, M. Stojancic, and L. Roytman "Obscured Object Recognition For An ATR Application", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960454

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