A model of attention-guided visual perception and recognition

被引:144
作者
Rybak, IA [1 ]
Gusakova, VI
Golovan, AV
Podladchikova, LN
Shevtsova, NA
机构
[1] EI Dupont De Nemours, Cent Res Dept, Expt Stn E328B31, Wilmington, DE 19880 USA
[2] Rostov State Univ, AB Kogan Res Inst Neurocybernet, Rostov Na Donu 344090, Russia
[3] George Mason Univ, MBTI, Fairfax, VA 22030 USA
[4] Univ Maryland, Inst Adv Comp Studies, College Pk, MD 20742 USA
关键词
visual perception; invariant recognition; attention; eye movements; scanpath;
D O I
10.1016/S0042-6989(98)00020-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
A model of visual perception and recognition is described. The model contains: (i) a low-level subsystem which performs both a fovea-like transformation and detection of primary features (edges), and (ii) a high-level subsystem which includes separated 'what' (sensory memory) and 'where' (motor memory) structures. Image recognition occurs during the execution of a 'behavioral recognition program' formed during the primary viewing of the image. The recognition program contains both programmed attention window movements (stored in the motor memory) and predicted image fragments (stored in the sensory memory) for each consecutive fixation. The model shows the ability to recognize complex images (e.g. faces) invariantly with respect to shift, rotation and scale. (C) 1998 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:2387 / 2400
页数:14
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