DocumentCode :
3614090
Title :
Blur and affine moment invariants
Author :
T. Suk;J. Flusser
Author_Institution :
Inst. of Inf. Theor. & Autom., Acad. of Sci. of the Czech Republic, Prague, Czech Republic
Volume :
4
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
339
Abstract :
The paper is devoted to the recognition of objects and patterns deformed by imaging geometry as well as by unknown blurring. We introduce anew class of features invariant simultaneously to blurring by a centrosymmetric PSF and to affine transformation. As we prove in the paper they can be constructed by combining affine moment invariants and blur invariants derived earlier Combined invariants allow to recognize objects in the degraded scene without any restoration and geometric normalization.
Keywords :
"Layout","Degradation","Radiometry","Pattern recognition","Geometry","Image sensors","Sensor systems","Cameras","Convolution","Face recognition"
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1047465
Filename :
1047465
Link To Document :
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