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- W2184171366 abstract "Thispaperpresents a biologically inspired object recognition algorithm thatistolerant totwo-dimensional (2D) affine transformations suchasscaling andtranslation intheimage planeandthree-dimensional (3D)transformations ofanobject suchasillumination changes androtation indepth. Thealgorithm achieves thisgoalbyextracting object features usingGabor wavelets andself-organizing mapsina hierarchical manner. Object features arelearned inanunsupervised waywhichis consistent withthefeature learning process inthevisual cortex. Thealgorithm isanalyzed forrobustness. A support vector machine (SVM)classifier isusedtotest theclassification efficiency ofthealgorithm." @default.
- W2184171366 created "2016-06-24" @default.
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- W2184171366 date "2007-01-01" @default.
- W2184171366 modified "2023-10-17" @default.
- W2184171366 title "Object Recognition withGeneric Self Organizing Feature Extractors andFastGaborWavelet Transform" @default.
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