Proceedings Paper
Model-based ternary phase-amplitude feature correlation filters| Format | Member Price | Non-Member Price |
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Paper Abstract
Ternary phase-amplitude filters (encoding only -1, 0, and +1 modulation values) have been designed to respond to
geometric features oftargetobjectsin scenes, forexample thewhecls on atruck. The filtersarebasedongenenc models involving
only a few parameters, whose adjustment allows the model to be matched to different instances ofthe feature (e.g., different size
wheels). The formulation ofthe model-based filtersand theircorrelation performance usingrealistic images ofvehicles in clutter
backgrounds willbepresented. Candidatepost-processing approaches to exploitthe correlation results fortargetrecognition will
be discussed.
Paper Details
Date Published: 27 December 1990
PDF: 10 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23417
Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)
PDF: 10 pages
Proc. SPIE 1347, Optical Information Processing Systems and Architectures II, (27 December 1990); doi: 10.1117/12.23417
Show Author Affiliations
Kipp Andon Bauchert, Univ. of Dayton Research Insti (United States)
David L. Flannery, Univ. of Dayton Research Insti (United States)
Published in SPIE Proceedings Vol. 1347:
Optical Information Processing Systems and Architectures II
Bahram Javidi, Editor(s)
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