| dc.date.accessioned | 2008-08-26T16:04:23Z | |
| dc.date.accessioned | 2018-11-26T22:25:41Z | |
| dc.date.available | 2008-08-26T16:04:23Z | |
| dc.date.available | 2018-11-26T22:25:41Z | |
| dc.date.issued | 1978-05 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41990 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41990 | |
| dc.description | This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the Department of Defense under Office of Naval Research contract N00014-75-C-0643. | en |
| dc.description.abstract | This paper presents a method of producing shaded images of terrain at an extremely fast rate by exploiting parallelism. The architecture of the Data Flow Computer is explained along with an appropriate "program" to compute the images. It is shown how shaded images of terrain can be computed in less than one-tenth of a second using a moderate-sized Data Flow Computer. | en |
| dc.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | Application of Data Flow Computation to the Shaded Image Problem | en |
| dc.type | Working Paper | en |
