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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6738Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Zollei, Lilla | - |
| dc.creator | Fisher, John | - |
| dc.creator | Wells, William | - |
| dc.date | 2004-10-08T20:43:13Z | - |
| dc.date | 2004-10-08T20:43:13Z | - |
| dc.date | 2004-04-28 | - |
| dc.date.accessioned | 2013-10-09T02:46:42Z | - |
| dc.date.available | 2013-10-09T02:46:42Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | AIM-2004-011 | - |
| dc.identifier | http://hdl.handle.net/1721.1/6738 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.description | We formulate and interpret several multi-modal registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method yielding a better understanding of their relative strengths and weaknesses. Additionally, we discuss a generative statistical model from which we derive a novel analysis tool, the "auto-information function", as a means of assessing and exploiting the common spatial dependencies inherent in multi-modal imagery. We analytically derive useful properties of the "auto-information" as well as verify them empirically on multi-modal imagery. Among the useful aspects of the "auto-information function" is that it can be computed from imaging modalities independently and it allows one to decompose the search space of registration problems. | - |
| dc.format | 21 p. | - |
| dc.format | 2760680 bytes | - |
| dc.format | 531001 bytes | - |
| dc.format | application/postscript | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | AIM-2004-011 | - |
| dc.subject | AI | - |
| dc.subject | registration | - |
| dc.subject | information theory | - |
| dc.subject | unified framework | - |
| dc.title | A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration | - |
| Appears in Collections: | MIT Items | |
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