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
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