Consistent and robust determination of border ownership based on asymmetric surrounding contrast

Neural Networks

Volumn 33, Issue , 2012, Pages 257-274

  Sakai, Ko ^a   Nishimura, Haruka ^b   Shimizu, Ryohei ^a   Kondo, Keiichi ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

^b NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Computational modeling; Middle vision; Perceptual organization; Receptive field; Shape and contour

Indexed keywords

BORDER OWNERSHIP; COMPUTATIONAL MODELING; DIRECTION OF FIGURES; FIGURE-GROUND SEGREGATION; HUMAN PERCEPTION; LOCAL PROCESSING; MACHINE-VISION; NATURAL IMAGES; OBJECT REPRESENTATIONS; PERCEPTUAL ORGANIZATION; PSEUDO RANDOM; RECEPTIVE FIELDS; SHAPE AND CONTOUR; SHAPE CODING; SURFACE CONSTRUCTION; SURROUND MODULATION; VISUAL AREAS;

COMPUTER VISION; FACE RECOGNITION; IMAGE CODING;

MODULATION;

ALGORITHM; ARTICLE; HUMAN; INTERNAL CONSISTENCY; MODULATION; NEUROPHYSIOLOGY; OBJECT RELATION; ORGANIZATION AND MANAGEMENT; PERCEPTION; PRIORITY JOURNAL; REACTION TIME; SEGREGATION ANALYSIS; SIMULATION;

CONTRAST SENSITIVITY; HUMANS; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; PHOTIC STIMULATION; RANDOM ALLOCATION;

EID: 84863873044     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2012.05.006     Document Type: Article

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