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Region-Based Feature Interpretation for Recognizing 3D Models in 2D Images

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dc.contributor.author Clemens, David T. en_US
dc.date.accessioned 2004-10-20T20:23:24Z
dc.date.available 2004-10-20T20:23:24Z
dc.date.issued 1991-06-01 en_US
dc.identifier.other AITR-1307 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/7039
dc.description.abstract In model-based vision, there are a huge number of possible ways to match model features to image features. In addition to model shape constraints, there are important match-independent constraints that can efficiently reduce the search without the combinatorics of matching. I demonstrate two specific modules in the context of a complete recognition system, Reggie. The first is a region-based grouping mechanism to find groups of image features that are likely to come from a single object. The second is an interpretive matching scheme to make explicit hypotheses about occlusion and instabilities in the image features. en_US
dc.description.provenance Made available in DSpace on 2004-10-20T20:23:24Z (GMT). No. of bitstreams: 2 AITR-1307.ps: 22413823 bytes, checksum: a808a61734ccb66fce203c8e2ff844ed (MD5) AITR-1307.pdf: 8247283 bytes, checksum: 073762f269ac136861eb178e2f1dba92 (MD5) Previous issue date: 1991-06-01 en
dc.format.extent 22413823 bytes
dc.format.extent 8247283 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-1307 en_US
dc.title Region-Based Feature Interpretation for Recognizing 3D Models in 2D Images en_US

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