A Computational Theory of Visual Surface Interpolation
| dc.date.accessioned | 2004-10-04T14:52:24Z | |
| dc.date.accessioned | 2018-11-24T10:13:00Z | |
| dc.date.available | 2004-10-04T14:52:24Z | |
| dc.date.available | 2018-11-24T10:13:00Z | |
| dc.date.issued | 1981-06-01 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/6343 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/6343 | |
| dc.description.abstract | Computational theories of structure from motion [Ulman, 1979] and stereo vision [Marr and Poggio, 1979] only specify the computation of three-dimensional surface information at special points in the image. Yet, the visual perception is clearly of complete surfaces. In order to account for this, a computational theory of the interpolation of surfaces from visual information is presented. | en_US |
| dc.format.extent | 26747958 bytes | |
| dc.format.extent | 18830327 bytes | |
| dc.language.iso | en_US | |
| dc.title | A Computational Theory of Visual Surface Interpolation | en_US |
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