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Titolo:
A MODEL FOR THE SPATIAL INTEGRATION AND DIFFERENTIATION OF VELOCITY SIGNALS
Autore:
GURNEY KN; WRIGHT MJ;
Indirizzi:
UNIV SHEFFIELD,DEPT PSYCHOL SHEFFIELD S10 2TP S YORKSHIRE ENGLAND BRUNEL UNIV,DEPT HUMAN SCI UXBRIDGE UB8 3PH MIDDX ENGLAND
Titolo Testata:
Vision research
fascicolo: 18, volume: 36, anno: 1996,
pagine: 2939 - 2955
SICI:
0042-6989(1996)36:18<2939:AMFTSI>2.0.ZU;2-C
Fonte:
ISI
Lingua:
ENG
Soggetto:
TRANSPARENT MOTION PERCEPTION; RANDOM-DOT-PATTERNS; APPARENT MOTION; COMPUTATIONAL THEORY; TEMPORAL FREQUENCY; MACAQUE MONKEY; VISUAL-CORTEX; NEURONS; VISION; DISCRIMINATION;
Keywords:
MOTION; MODEL; COOPERATIVITY; SEGMENTATION; OPTIC-FLOW;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
61
Recensione:
Indirizzi per estratti:
Citazione:
K.N. Gurney e M.J. Wright, "A MODEL FOR THE SPATIAL INTEGRATION AND DIFFERENTIATION OF VELOCITY SIGNALS", Vision research, 36(18), 1996, pp. 2939-2955

Abstract

We present a model of optic flow processing which is able to reconcile the integrative, cooperative phenomena of motion capture and coherence with the differentiation of velocity signals in motion segmentationand transparency, The model uses a Markov random field to compute thebehaviour of coextensive topographic neural maps of retinotopy and velocity. We have used the model to simulate the psychophysics of motioncoherence, motion capture and transparency. Further, it exhibits motion segmentation without extra postulates. The model is robust and ableto display all types of motion percept with the same parameter set. Copyright (C) 1996 Elsevier Science Ltd.

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Documento generato il 27/10/20 alle ore 05:35:09