Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7047
Full metadata record
DC FieldValueLanguage
dc.creatorShashua, Amnon-
dc.date2004-10-20T20:23:42Z-
dc.date2004-10-20T20:23:42Z-
dc.date1992-11-01-
dc.date.accessioned2013-10-09T02:48:06Z-
dc.date.available2013-10-09T02:48:06Z-
dc.date.issued2013-10-09-
dc.identifierAITR-1401-
dc.identifierhttp://hdl.handle.net/1721.1/7047-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThe 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.-
dc.format11817400 bytes-
dc.format2837265 bytes-
dc.formatapplication/postscript-
dc.formatapplication/pdf-
dc.languageen_US-
dc.relationAITR-1401-
dc.titleGeometry and Photometry in 3D Visual Recognition-
Appears in Collections:MIT Items

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.