LEADER 01118nam a22002651i 4500 001 991002987629707536 005 20030823161642.0 008 030925s1984 gw a||||||||||||||||ger 035 $ab12364836-39ule_inst 035 $aARCHE-041236$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a401 100 1 $aHassler, Gerda$0455279 245 10$aSprachtheorien der auflärung zur rolle der sprache im erkenntnisprozess 260 $aBerlin :$bAkademie,$c1984 300 $a190 p. :$bill. ;$c24 cm 440 0$aAbhandlungen der Sächsischen Akademie der Wissenschaften zu Leipzig.$pPhilologisch-historische klasse ;$v68/1 650 4$aLinguaggio$xFilosofia 650 4$aLinguaggio$xTeorie 907 $a.b12364836$b02-04-14$c08-10-03 912 $a991002987629707536 945 $aLE002 Ann. 334/068,1$g1$i2002000106285$lle002$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i1276954x$z08-10-03 996 $aSprachtheorien der auflärung zur rolle der sprache im erkenntnisprozess$9171817 997 $aUNISALENTO 998 $ale002$b08-10-03$cm$da $e-$fger$ggw $h0$i1 LEADER 02822nam 2200445z- 450 001 9910161649403321 005 20210211 035 $a(CKB)3710000001041970 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/49261 035 $a(oapen)doab49261 035 $a(EXLCZ)993710000001041970 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aHierarchical Object Representations in the Visual Cortex and Computer Vision 210 $cFrontiers Media SA$d2016 215 $a1 online resource (290 p.) 225 1 $aFrontiers Research Topics 311 08$a2-88919-798-0 330 $aOver the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations. 606 $aNeurosciences$2bicssc 610 $aAttention 610 $aComputational neuroscence 610 $aComputer Vision 610 $aNeuromorphic 610 $aNeuronal modeling 610 $aobject recognition 610 $ashape 610 $aVisual Cortex 615 7$aNeurosciences 700 $aAntonio Rodriguez-Sanchez$4auth$01287764 702 $aMazyar Fallah$4auth 702 $aAles Leonardis$4auth 906 $aBOOK 912 $a9910161649403321 996 $aHierarchical Object Representations in the Visual Cortex and Computer Vision$93020365 997 $aUNINA