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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7214Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Beymer, David | - |
| dc.creator | Shashua, Amnon | - |
| dc.creator | Poggio, Tomaso | - |
| dc.date | 2004-10-20T20:50:00Z | - |
| dc.date | 2004-10-20T20:50:00Z | - |
| dc.date | 1993-11-01 | - |
| dc.date.accessioned | 2013-10-09T02:48:34Z | - |
| dc.date.available | 2013-10-09T02:48:34Z | - |
| dc.date.issued | 2013-10-09 | - |
| dc.identifier | AIM-1431 | - |
| dc.identifier | CBCL-080 | - |
| dc.identifier | http://hdl.handle.net/1721.1/7214 | - |
| dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
| dc.description | Image analysis and graphics synthesis can be achieved with learning techniques using directly image examples without physically-based, 3D models. In our technique: -- the mapping from novel images to a vector of "pose" and "expression" parameters can be learned from a small set of example images using a function approximation technique that we call an analysis network; -- the inverse mapping from input "pose" and "expression" parameters to output images can be synthesized from a small set of example images and used to produce new images using a similar synthesis network. The techniques described here have several applications in computer graphics, special effects, interactive multimedia and very low bandwidth teleconferencing. | - |
| dc.format | 21 p. | - |
| dc.format | 979413 bytes | - |
| dc.format | 1030628 bytes | - |
| dc.format | application/octet-stream | - |
| dc.format | application/pdf | - |
| dc.language | en_US | - |
| dc.relation | AIM-1431 | - |
| dc.relation | CBCL-080 | - |
| dc.subject | computer graphics | - |
| dc.subject | networks | - |
| dc.subject | computer vision | - |
| dc.subject | steleconferencing | - |
| dc.subject | image compression | - |
| dc.subject | computer interfaces | - |
| dc.title | Example Based Image Analysis and Synthesis | - |
| Appears in Collections: | MIT Items | |
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