| 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 |
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| dc.format.extent |
8247283 bytes |
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| 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 |