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Title: | Recognizing 3-D Objects Using 2-D Images |
Keywords: | grouping indexing recognition invariants sensing erro snon-accidental properties |
Issue Date: | 9-Oct-2013 |
Description: | We discuss a strategy for visual recognition by forming groups of salient image features, and then using these groups to index into a data base to find all of the matching groups of model features. We discuss the most space efficient possible method of representing 3-D models for indexing from 2-D data, and show how to account for sensing error when indexing. We also present a convex grouping method that is robust and efficient, both theoretically and in practice. Finally, we combine these modules into a complete recognition system, and test its performance on many real images. |
URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
Other Identifiers: | AITR-1416 http://hdl.handle.net/1721.1/6796 |
Appears in Collections: | MIT Items |
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