| dc.contributor.author | Krüger, Norbert | |
| dc.contributor.author | Zillich, Michael | |
| dc.contributor.author | Janssen, Peter | |
| dc.contributor.author | Buch, Anders Glent | |
| dc.date | 2015-02-01 | |
| dc.date.accessioned | 2018-01-08T09:17:35Z | |
| dc.date.available | 2018-01-08T09:17:35Z | |
| dc.date.issued | 2015 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/11442 | |
| dc.description.abstract | In this review, we discuss the impact (or lack thereof) biologically motivated vision has had on computer vision in the last decades. We then summarize a number of computer vision and robotic problems for which biological models can give indications for how these can be addressed. Then we summarize important findings about the primate’s visual system and draw a number of conclusions for the development of algorithms from these findings. | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 29, No. 1 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | What We Can Learn From the Primate’s Visual System | |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 9-18 | |
| gi.identifier.doi | 10.1007/s13218-014-0345-9 | |
