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• W2085748306 abstract "Abstract This paper describes a two-stage technique for inferring part descriptions of articulated objects from parallel planar cross-sections or slices. First the data are segmented into significant components or parts, then sticks and blobs are fitted to the parts. We introduce a definition of ‘a part’ in the framework of regularity-based segmentation. The segmentation is completely model-independent. It exploits shape regularities to generate a set of perceptually plausible parts which can be described by any volumetric primitives. In contrast to several related approaches, bent parts can be successfully analyzed by our system. The volumetric primitives used in the modles are meant to be suggestive more than literal. An inferred model describes an object in terms of type, connectivity, position and orientation of its parts. Attractive features of the approach include simplicity, good generality and its treatment of bent parts. Experimental results are presented." @default.
• W2085748306 created "2016-06-24" @default.
• W2085748306 creator A5048954811 @default.
• W2085748306 date "1993-05-01" @default.
• W2085748306 modified "2023-09-27" @default.
• W2085748306 title "Part segmentation of slice data using regularity" @default.
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• W2085748306 doi "https://doi.org/10.1016/0165-1684(93)90037-b" @default.
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