A Novel Approach to Graphics
dc.date.accessioned | 2004-10-04T14:24:16Z | |
dc.date.accessioned | 2018-11-24T10:11:18Z | |
dc.date.available | 2004-10-04T14:24:16Z | |
dc.date.available | 2018-11-24T10:11:18Z | |
dc.date.issued | 1992-02-01 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/5964 | |
dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/5964 | |
dc.description.abstract | sWe show that we can optimally represent the set of 2D images producedsby the point features of a rigid 3D model as two lines in twoshigh-dimensional spaces. We then decribe a working recognition systemsin which we represent these spaces discretely in a hash table. We cansaccess this table at run time to find all the groups of model featuressthat could match a group of image features, accounting for the effectssof sensing error. We also use this representation of a model's imagessto demonstrate significant new limitations of two other approaches tosrecognition: invariants, and non-accidental properties. | en_US |
dc.format.extent | 15 p. | en_US |
dc.format.extent | 1356111 bytes | |
dc.format.extent | 1055073 bytes | |
dc.language.iso | en_US | |
dc.subject | graphics | en_US |
dc.subject | hyperbf networks | en_US |
dc.subject | in-betweening | en_US |
dc.subject | momory-basedsgraphics | en_US |
dc.subject | teleconferencing | en_US |
dc.title | A Novel Approach to Graphics | en_US |
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