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
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;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939083