Geometry and Photometry in 3D Visual Recognition
| dc.contributor.author | Shashua, Amnon | en_US |
| dc.date.accessioned | 2004-10-20T20:23:42Z | |
| dc.date.available | 2004-10-20T20:23:42Z | |
| dc.date.issued | 1992-11-01 | en_US |
| dc.identifier.other | AITR-1401 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/7047 | |
| dc.description.abstract | The report addresses the problem of visual recognition under two sources of variability: geometric and photometric. The geometric deals with the relation between 3D objects and their views under orthographic and perspective projection. The photometric deals with the relation between 3D matte objects and their images under changing illumination conditions. Taken together, an alignment-based method is presented for recognizing objects viewed from arbitrary viewing positions and illuminated by arbitrary settings of light sources. | en_US |
| dc.format.extent | 11817400 bytes | |
| dc.format.extent | 2837265 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.relation.ispartofseries | AITR-1401 | en_US |
| dc.title | Geometry and Photometry in 3D Visual Recognition | en_US |
