Tsang, K.M., To, F.W. and Billings, S.A. (1994) Analysis and Recognition of Three Dimensional Closed Boundaries. Research Report. ACSE Research Report 519 . Department of Automatic Control and Systems Engineering
Abstract
An autoregressive model is introduced for modelling, invariant feature extraction and recognition of arbitrary three dimensional(3D)closed boundary curves. An orthogonal estimation algorithm is derived for the estimation of the coefficient matrix associated with the model and an error reduction ratio is used to detect the order of the model. It is shown that the eigenvalues and the determinant of the coefficient matrix are invariant to rotation around the origin, to the choice of starting point in tracing the boundary and to scale and translation which can therefore be extracted for the recognition of the 3D closed boundary curves.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports |
Depositing User: | MRS ALISON THERESA BARNETT |
Date Deposited: | 03 Jul 2014 11:39 |
Last Modified: | 25 Oct 2016 05:32 |
Status: | Published |
Publisher: | Department of Automatic Control and Systems Engineering |
Series Name: | ACSE Research Report 519 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:79635 |