Visual Attention in Brains and Computers
| dc.contributor.author | Hurlbert, Anya | en_US |
| dc.contributor.author | Poggio, Tomaso | en_US |
| dc.date.accessioned | 2004-08-31T18:12:09Z | |
| dc.date.available | 2004-08-31T18:12:09Z | |
| dc.date.issued | 1986-09-01 | en_US |
| dc.identifier.other | AIM-915 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.3/5514 | |
| dc.description.abstract | Existing computer programs designed to perform visual recognition of objects suffer from a basic weakness: the inability to spotlight regions in the image that potentially correspond to objects of interest. The brain's mechanisms of visual attention, elucidated by psychophysicists and neurophysiologists, may suggest a solution to the computer's problem of object recognition. | en_US |
| dc.format.extent | 7 p. | en_US |
| dc.format.extent | 1325514 bytes | |
| dc.format.extent | 522561 bytes | |
| dc.format.mimetype | application/postscript | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.relation.ispartofseries | AIM-915 | en_US |
| dc.subject | visual recognition | en_US |
| dc.subject | face recognition | en_US |
| dc.subject | parallel-serialsroutines | en_US |
| dc.subject | attention | en_US |
| dc.title | Visual Attention in Brains and Computers | en_US |
