An affine invariant deformable shape representation for general curves
(2003) 9th International Conference on Computer Vision, IEEE In Proceedings of the IEEE International Conference on Computer Vision 2. p.11421149 Abstract
 Automatic construction of Shape Models from examples has been the focus of intense research during the last couple of years. These methods have proved to be useful for shape segmentation, tracking and shape understanding. In this paper novel theory to automate shape modelling is described. The theory is intrinsically defined for curves although curves are infinite dimensional objects. The theory is independent of parameterisation and affine transformations. We suggest a method for implementing the ideas and compare it to minimising the Description Length of the model (MDL). It turns out that the accuracy of the two methods is comparable. Both the MDL and our approach can get Stuck at local minima. Our algorithm is less computational... (More)
 Automatic construction of Shape Models from examples has been the focus of intense research during the last couple of years. These methods have proved to be useful for shape segmentation, tracking and shape understanding. In this paper novel theory to automate shape modelling is described. The theory is intrinsically defined for curves although curves are infinite dimensional objects. The theory is independent of parameterisation and affine transformations. We suggest a method for implementing the ideas and compare it to minimising the Description Length of the model (MDL). It turns out that the accuracy of the two methods is comparable. Both the MDL and our approach can get Stuck at local minima. Our algorithm is less computational expensive and relatively good solutions are obtained after a few iterations. The MDL is, however, better suited at finetuning the parameters given good initial estimates to the problem. It is shown that a combination of the two methods outperforms either on its own. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/record/612789
 author
 Ericsson, Anders ^{LU} and Åström, Karl ^{LU}
 organization
 publishing date
 2003
 type
 Chapter in Book/Report/Conference proceeding
 publication status
 published
 subject
 keywords
 Affine invariant deformable shape representation, Description length of the model, Shape variation
 in
 Proceedings of the IEEE International Conference on Computer Vision
 volume
 2
 pages
 1142  1149
 publisher
 IEEEInstitute of Electrical and Electronics Engineers Inc.
 conference name
 9th International Conference on Computer Vision, IEEE
 external identifiers

 WOS:000186833000151
 Other:CODEN: PICVES
 Scopus:0344983282
 ISBN
 0769519504
 DOI
 10.1109/ICCV.2003.1238477
 language
 English
 LU publication?
 yes
 id
 d764c238f5614daf881b205922a2f3fb (old id 612789)
 date added to LUP
 20071128 12:51:37
 date last changed
 20161013 04:47:56
@misc{d764c238f5614daf881b205922a2f3fb, abstract = {Automatic construction of Shape Models from examples has been the focus of intense research during the last couple of years. These methods have proved to be useful for shape segmentation, tracking and shape understanding. In this paper novel theory to automate shape modelling is described. The theory is intrinsically defined for curves although curves are infinite dimensional objects. The theory is independent of parameterisation and affine transformations. We suggest a method for implementing the ideas and compare it to minimising the Description Length of the model (MDL). It turns out that the accuracy of the two methods is comparable. Both the MDL and our approach can get Stuck at local minima. Our algorithm is less computational expensive and relatively good solutions are obtained after a few iterations. The MDL is, however, better suited at finetuning the parameters given good initial estimates to the problem. It is shown that a combination of the two methods outperforms either on its own.}, author = {Ericsson, Anders and Åström, Karl}, isbn = {0769519504}, keyword = {Affine invariant deformable shape representation,Description length of the model,Shape variation}, language = {eng}, pages = {11421149}, publisher = {ARRAY(0x873f9f8)}, series = {Proceedings of the IEEE International Conference on Computer Vision}, title = {An affine invariant deformable shape representation for general curves}, url = {http://dx.doi.org/10.1109/ICCV.2003.1238477}, volume = {2}, year = {2003}, }