Publication
Computational cortical cell models for continuity and texture
| dc.contributor.author | Santos, L. M. | |
| dc.contributor.author | du Buf, J. M. H. | |
| dc.date.accessioned | 2015-11-04T12:04:33Z | |
| dc.date.available | 2015-11-04T12:04:33Z | |
| dc.date.issued | 2002 | |
| dc.description.abstract | Area VI and higher areas in the visual cortex contain many feature extraction engines that serve to build a symbolic image representation. In this paper we present models of cells that complement a multiscale line and edge extraction. After reviewing a frontend that comprises Gabor filters (simple cells), bar and grating cells, we introduce a bar cell grouping for completing occluded curvilinear structures (snakes), as well as a grating cell grouping for coding periodic textures with different complexities. | |
| dc.identifier.isbn | 3-540-00174-3 | |
| dc.identifier.issn | 0302-9743 | |
| dc.identifier.other | AUT: DUB00865; | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/6960 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Springer Verlag | |
| dc.relation.isbasedon | P-000-QWT | |
| dc.relation.ispartof | Lecture Notes in Computer Science | |
| dc.subject | Perceptual grouping | |
| dc.subject | Cortical cells | |
| dc.title | Computational cortical cell models for continuity and texture | |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Tubingen, Germany | |
| oaire.citation.endPage | 98 | |
| oaire.citation.startPage | 90 | |
| oaire.citation.title | Biologically Motivated Computer Vision | |
| oaire.citation.volume | 2525 | |
| person.familyName | du Buf | |
| person.givenName | Hans | |
| person.identifier.orcid | 0000-0002-4345-1237 | |
| person.identifier.rid | M-5125-2013 | |
| person.identifier.scopus-author-id | 6604075916 | |
| rcaap.rights | restrictedAccess | |
| rcaap.type | article | |
| relation.isAuthorOfPublication | cfad5636-2c77-4db0-a3a0-d7eb97ce6bee | |
| relation.isAuthorOfPublication.latestForDiscovery | cfad5636-2c77-4db0-a3a0-d7eb97ce6bee |
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