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- W2106241519 abstract "We address the problem of constructing view aspects of free-form objects for efficient matching during recognition. We introduce a novel view representation based on spectrum features, and propose a general and powerful technique for organizing multiple views of objects of complex shape and geometry into compact and homogeneous clusters. Our view-grouping technique obviates the need for surface segmentation and edge detection. We also demonstrate that when view-grouping is exploited to structure a large model base of views, even with a relatively flat (two-tiered) arrangement a small set of plausible correct matches can be determined quickly. Experimental results on a database of 3,200 views of 10 objects show that when tested with 1,000 independent views, our matching technique examined, on the average, only 23.5% of the database for correct classification." @default.
- W2106241519 created "2016-06-24" @default.
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- W2106241519 date "2002-11-19" @default.
- W2106241519 modified "2023-09-24" @default.
- W2106241519 title "View organization and matching of free-form objects" @default.
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- W2106241519 doi "https://doi.org/10.1109/iscv.1995.476972" @default.
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