DocumentCode
2260053
Title
Pattern recognition with eye movement: a neural network model
Author
Kikuchi, Masayuki ; Fukushima, Kunihiko
Author_Institution
Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan
Volume
2
fYear
2000
fDate
2000
Firstpage
37
Abstract
We offer a neural network model which has the ability of sift, scale, and deformation-invariant pattern recognition. The model extracts spatial relations between fixating feature and each of peripheral features. The mechanism of saccadic eye movement enables the model to analyze whole pattern-structure. The ability of the model has been tested on a computer
Keywords
image recognition; neural nets; neurophysiology; visual perception; deformation-invariant pattern recognition; fixating feature; neural network model; pattern recognition; pattern-structure analysis; peripheral features; saccadic eye movement; scale-invariant pattern recognition; sift-invariant pattern recognition; spatial relation extraction; Biological information theory; Biological system modeling; Computer vision; Data mining; Deformable models; Humans; Neural networks; Pattern recognition; Retina; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.857871
Filename
857871
Link To Document