资源描述：
《Deep Hierarchies in the Primate Visual Cortex What Can We Learn for Computer Vision.pdf》由会员上传分享，免费在线阅读，更多相关内容在学术论文-天天文库。
1、IEEETRANSACTIONSONPATTERNANALYSISANDMACHINEINTELLIGENCE,VOL.35,NO.8,AUGUST20131847DeepHierarchiesinthePrimateVisualCortex:WhatCanWeLearnforComputerVision?NorbertKru¨ger,PeterJanssen,SinanKalkan,MarkusLappe,AlesLeonardis,Member,IEEE,JustusPiater,Member,IEE
2、EComputerSociety,AntonioJ.Rodrı´guez-Sa´nchez,andLaurenzWiskottAbstractComputationalmodelingoftheprimatevisualsystemyieldsinsightsofpotentialrelevancetosomeofthechallengesthatcomputervisionisfacing,suchasobjectrecognitionandcategorization,motiondetectionan
3、dactivityrecognition,orvision-basednavigationandmanipulation.Thispaperreviewssomefunctionalprinciplesandstructuresthataregenerallythoughttounderlietheprimatevisualcortex,andattemptstoextractbiologicalprinciplesthatcouldfurtheradvancecomputervisionresearch.
4、Organizedforacomputervisionaudience,wepresentfunctionalprinciplesoftheprocessinghierarchiespresentintheprimatevisualsystemconsideringrecentdiscoveriesinneurophysiology.Thehierarchicalprocessingintheprimatevisualsystemischaracterizedbyasequenceofdifferentle
5、velsofprocessing(ontheorderof10)thatconstituteadeephierarchyincontrasttotheflatvisionarchitecturespredominantlyusedintodaysmainstreamcomputervision.Wehopethatthefunctionaldescriptionofthedeephierarchiesrealizedintheprimatevisualsystemprovidesvaluableinsigh
6、tsforthedesignofcomputervisionalgorithms,fosteringincreasinglyproductiveinteractionbetweenbiologicalandcomputervisionresearch.IndexTermsComputervision,deephierarchies,biologicalmodelingÇ1INTRODUCTIONHEhistoryofcomputervisionnowspansmorethanhalfreflectedthe
7、changingresearchfocusesofthemachineTacentury.However,general,robust,completesatisfac-visioncommunity[32].Withoutanydoubt,theground-torysolutionstothemajorproblemssuchaslarge-scalebreakingworkofHubelandWiesel[72]gaveasignificantobject,sceneandactivityrecogn
8、ition,andcategorization,asimpulsetothecomputervisioncommunityviaMarrsworkwellasvision-basedmanipulationarestillbeyondreachof[109]onbuildingvisualhierarchiesanalogoustothecurrentmachinevisionsystems.Biological
