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- W2166928547 abstract "This paper describes a method for recognizing partially occluded objects for bin-picking tasks using eigenspace analysis, referred to as the eigen window method, that stores multiple partial appearances of an object in an eigenspace. Such partial appearances require a large amount of memory space. Three measurements, detectability, uniqueness, and reliability, on windows are developed to eliminate redundant windows and thereby reduce memory requirements. Using a pose clustering technique, the method determines the pose of an object and the object type itself. We have implemented the method and verified its validity." @default.
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- W2166928547 title "Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects" @default.
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- W2166928547 doi "https://doi.org/10.1109/34.615453" @default.
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