Model-based vision using geometric hashing

Alexander Akerman III; Ronald Patton

doi:10.1117/12.47969

1 April 1991 Model-based vision using geometric hashing

Alexander Akerman III, Ronald Patton

Proceedings Volume 1406, Image Understanding in the '90s: Building Systems that Work; (1991) https://doi.org/10.1117/12.47969
Event: Applied Imaging Pattern Recognition, 1990, McLean, VA, United States

Abstract

The Geometric Hashing technique developed by the NYU Courant Institute has been applied to various automatic target recognition applications. In particular, I-MATH has extended the hashing algorithm to perform automatic target recognition ofsynthetic aperture radar (SAR) imagery. For this application, the hashing is performed upon the geometric locations of dominant scatterers. In addition to being a robust model-based matching algorithm -- invariant under translation, scale, and 3D rotations of the target -- hashing is of particular utility because it can still perform effective matching when the target is partially obscured. Moreover, hashing is very amenable to a SIMD parallel processing architecture, and thus potentially realtime implementable.

Citation Download Citation

Alexander Akerman III and Ronald Patton "Model-based vision using geometric hashing", Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); https://doi.org/10.1117/12.47969

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