DocumentCode :
2214317
Title :
Complexity analysis of ATR algorithms based on invariants
Author :
Arnold, D. Gregory ; Sturtz, Kirk
Author_Institution :
Target Recognition Branch, Air Force Res. Lab., OH, USA
fYear :
2000
fDate :
2000
Firstpage :
27
Lastpage :
36
Abstract :
Research in the calculation and exploitation of geometric object/image relations suggests new approaches to automatic target recognition (ATR). The resulting conceptual advances have efficiently solved the geometry problem and have transformed the ATR problem into a correspondence problem. This paper provides an analysis of the elementary algorithms which exploit object/image relations as a basis for object recognition. The goal is to develop an understanding for the critical components to address for developing a practical system. 3D laser radar is used as an example
Keywords :
computational complexity; image matching; object recognition; optical radar; radar imaging; 3D laser radar; ATR algorithms; automatic target recognition; complexity analysis; correspondence problem; geometric object/image relations; geometry problem; invariants; object recognition; Aerospace electronics; Algorithm design and analysis; Electrical capacitance tomography; Geometry; Image analysis; Image recognition; Kirk field collapse effect; Object recognition; Sensor phenomena and characterization; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Beyond the Visible Spectrum: Methods and Applications, 2000. Proceedings. IEEE Workshop on
Conference_Location :
Hilton Head, SC
Print_ISBN :
0-7695-0640-2
Type :
conf
DOI :
10.1109/CVBVS.2000.855247
Filename :
855247
Link To Document :
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