title: A model of attention-guided visual perception and recognition.
abstract: 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.
authors.affiliation: E. I. du Pont de Nemours and Co., Central Research Department, Wilmington, DE 19880-0328, USA. rybaki@eplrx7.es.dupont.com
authors.forename: I A
authors.initials: IA
authors.lastname: Rybak
authors.forename: V I
authors.initials: VI
authors.lastname: Gusakova
authors.forename: A V
authors.initials: AV
authors.lastname: Golovan
authors.forename: L N
authors.initials: LN
authors.lastname: Podladchikova
authors.forename: N A
authors.initials: NA
authors.lastname: Shevtsova
mesh_terms: D001288:Attention; D001519:Behavior; D003198:Computer Simulation; D019066:Facies; D005403:Fixation, Ocular; D005584:Fovea Centralis / Q000502:physiology; D006801:Humans; D008433:Mathematics; D008568:Memory; D008959:Models, Neurological; D010364:Pattern Recognition, Visual / Q000502:physiology*; D012399:Rotation