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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1721.1/6796
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| Title: | Recognizing 3-D Objects Using 2-D Images |
| Authors: | Jacobs, David W. |
| Keywords: | grouping
indexing
recognition
invariants
sensing erro
snon-accidental properties |
| Issue Date: | 1-Apr-1993 |
| Series/Report no.: | AITR-1416 |
| Abstract: | 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://hdl.handle.net/1721.1/6796 |
| Appears in Collections: | AI Technical Reports (1964 - 2004)
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| AITR-1416.ps.Z | | 3437Kb | Unknown | View/Open | | AITR-1416.pdf | | 6841Kb | Adobe PDF | View/Open |
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