DocumentCode
1749104
Title
A biological model for distortion-invariant target recognition
Author
Iftekharuddin, Khan M. ; Power, Gregory
Author_Institution
Electr. & Comput. Eng., Univ. of Memphis, TN, USA
Volume
1
fYear
2001
fDate
2001
Firstpage
559
Abstract
The premise of this proposal can be characterized by a novel direction of thinking outside of the usual automatic target recognition (ATR) paradigm that primarily involves a working set of algorithms based on known engineering principles. Contemporary knowledge of the human visual system is analyzed to draw insights and thereby to rethink our simulated ATR environment. The vision system of primates that involves the retina as a sensor and the primary visual cortex as a major information processing organ offers a unique opportunity to gain understanding of the biological ATR process. We attempt to implement a distortion invariant ATR system based on such biological inspiration
Keywords
infrared imaging; neural nets; object recognition; physiological models; visual perception; biological model; distortion-invariant target recognition; human visual system; primates; retina; vision system; Analytical models; Biological system modeling; Biosensors; Brain modeling; Humans; Machine vision; Proposals; Retina; Target recognition; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-7044-9
Type
conf
DOI
10.1109/IJCNN.2001.939083
Filename
939083
Link To Document