Visual Grouping by Neural Oscillators

Simple item page
dc.creatorYu, Guoshen
dc.creatorSlotine, Jean-Jacques
dc.date2008-07-18
dc.date.accessioned2026-07-07T09:51:17Z
dc.date.available2026-07-07T09:51:17Z
dc.descriptionDistributed synchronization is known to occur at several scales in the brain, and has been suggested as playing a key functional role in perceptual grouping. State-of-the-art visual grouping algorithms, however, seem to give comparatively little attention to neural synchronization analogies. Based on the framework of concurrent synchronization of dynamic systems, simple networks of neural oscillators coupled with diffusive connections are proposed to solve visual grouping problems. Multi-layer algorithms and feedback mechanisms are also studied. The same algorithm is shown to achieve promising results on several classical visual grouping problems, including point clustering, contour integration and image segmentation.
dc.identifierhttps://arxiv.org/abs/0807.2928
dc.identifierhttp://arxiv.org/abs/0807.2928
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/165236
dc.subjectComputer Vision and Pattern Recognition
dc.subjectNeural and Evolutionary Computing
dc.titleVisual Grouping by Neural Oscillators
dc.typetext

Files

Collections

arXiv