DocumentCode
3173040
Title
Constructing invariant features by averaging techniques
Author
Schulz-Mirbach, Hanns
Author_Institution
Inst. fur Tech. Inf., Tech. Univ. Hamburg-Harburg, Germany
Volume
2
fYear
1994
fDate
9-13 Oct 1994
Firstpage
387
Abstract
The paper presents algorithms for the construction of features which are invariant with respect to a given transformation group. The methods are based on integral calculus and are applicable to parametric groups (Lie groups) and finite groups as well. To illustrate the concepts the author discusses in detail how to construct invariant features for the general linear group which is of importance in computer vision applications. The author briefly mentions how to combine the algorithms with Hilbert space techniques for the description of continuous signals. Finally the author applies the presented methods to establish the existence of complete feature sets for arbitrary compact groups
Keywords
computer vision; Hilbert space techniques; Lie groups; averaging techniques; computer vision; continuous signals; general linear group; integral calculus; invariant features; parametric groups; Application software; Calculus; Computer vision; Convergence; Hilbert space; Orbital calculations; Orbits;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6270-0
Type
conf
DOI
10.1109/ICPR.1994.576950
Filename
576950
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