Proceedings PaperHierarchical filter sets for distortion-invariant OPR
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Our research group at Carnegie Mellon University has devised a large number of new distortion-invariant optical correlation filters. We briefly review our hierarchical inference approach to scene analysis, our minimum noise and correlation energy (MINACE) filters, the use of morphological hit-miss (rank-order) and MINACE filters for detection, and the use of MINACE filters with different control parameters c for all three levels of scene analysis (detection, recognition, identification). We then detail new generalized rotation-invariant filters with initial test results.