DocumentCode :
407096
Title :
Translation, scale and rotation invariant object recognition
Author :
Gruzman, I.S. ; Nikitin, V.G.
Author_Institution :
Novosibirsk State Tech. Univ., Russia
fYear :
2003
fDate :
23-26 Dec. 2003
Firstpage :
132
Lastpage :
137
Abstract :
Over the last years the problem of pattern recognition under various geometrical transformations is very important. In the case of affection scale and rotation transforms, well-known correlation-extreme algorithms are not efficient. The invariant object recognition methods of translation, scale and rotation are suggested. Root-mean-square method is more computationally expensive, but it provides good recognition when alien objects have different shape with object size error up to 25%.
Keywords :
correlation methods; least mean squares methods; object recognition; affection scale; correlation-extreme algorithms; geometrical transformations; invariant object recognition; pattern recognition; root-mean-square method; rotation transforms; Associate members; Decision making; Image segmentation; Object recognition; Parameter estimation; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Electronics: Measurements, Identification, Applications, 2003. MEMIA 2003. Proceedings of the 4th IEEE-Russia Conference
Print_ISBN :
5-7782-0439-6
Type :
conf
DOI :
10.1109/MEMIA.2003.1282221
Filename :
1282221
Link To Document :
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