DocumentCode :
2903698
Title :
Invariant object recognition with discriminant features based on local fast-Fourier Mellin transform
Author :
Gotze, Nicolai ; Drue, Siegbert ; Hartmann, Georg
Author_Institution :
Heinz Nixdorf Inst., Paderborn Univ., Germany
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
948
Abstract :
We describe an approach to scale-, orientation- and shift-invariant object recognition. The modulo of locally computed Fourier-Mellin descriptors serve as features that describe local image-patches scale- and orientation-invariant. Those features can be efficiently computed w.r.t. each image location, thus enabling positional invariance as well. Based on those features, we use a two-step procedure for locating and subsequently identifying previously learnt objects. First, all known objects are searched for in parallel in the principle components domain using a probabilistic similarity measure. Hereafter, possible object locations are further examined using Fisher´s discriminant analysis, thus enabling multiobject identification in one step. A spin-off from the principle component analysis enables representation-based feature selection, which in turn reduces the computational burden of feature generation
Keywords :
fast Fourier transforms; invariance; object recognition; principal component analysis; Fisher´s discriminant analysis; discriminant features; feature generation; invariant object recognition; local fast-Fourier Mellin transform; local image-patches; multiobject identification; orientation-invariant recognition; positional invariance; probabilistic similarity; representation-based feature selection; scale-invariant recognition; shift-invariant recognition; two-step procedure; Data mining; Electronic mail; Fast Fourier transforms; Fourier transforms; Grid computing; Image recognition; Image segmentation; Layout; Object recognition; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905607
Filename :
905607
Link To Document :
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