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• W2079542417 abstract "An adaptive algorithm which has the capability of simultaneously identifying several shapes is introduced and derived. The identification of the irregular objects (shapes) can be accomplished over a wide range of scale factors, and independent of rotation and translation. It is demonstrated that excellent identification performance is obtained under the most adverse conditions. Specifically, it is demonstrated that the algorithm performs well in the presence of both noise and occlusion. Additionally, the matching process produces estimates of rotation, scaling, and translation for the various irregular objects. The algorithm is robust in the sense that adjustments can be made to accomodate both extreme noise and memory restrictions. It is demonstrated that the computational requirements for the procedure are not excessive." @default.
• W2079542417 created "2016-06-24" @default.
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• W2079542417 date "1986-06-09" @default.
• W2079542417 modified "2023-10-05" @default.
• W2079542417 title "Reliable Formation Of Feature Vectors For 2-D Shape Representation" @default.
• W2079542417 doi "https://doi.org/10.1117/12.952250" @default.
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