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Automatic feature point correspondences and shape analysis with missing data and outliers using MDL

Åström, Karl LU ; Karlsson, Johan LU ; Enqvist, Olof LU ; Ericsson, Anders LU and Kahl, Fredrik LU (2007) 15th Scandinavian Image Analysis Conference In Proceedings 15th Scandinavian Image Analysis Conference 4522. p.21-30
Abstract
Automatic construction of shape models from examples has recently been the focus of intense research. These methods have proved to be useful for shape segmentation, tracking, recognition and shape understanding. In this paper we discuss automatic landmark selection and correspondence determination from a discrete set of landmarks, typically obtained by feature extraction. The set of landmarks may include both outliers and missing data. Our framework has a solid theoretical basis using principles of minimal description length (MDL). In order to exploit these ideas, new non-heuristic methods for (i) principal component analysis and (ii) procrustes mean are derived - as a consequence of the modelling principle. The resulting MDL criterion is... (More)
Automatic construction of shape models from examples has recently been the focus of intense research. These methods have proved to be useful for shape segmentation, tracking, recognition and shape understanding. In this paper we discuss automatic landmark selection and correspondence determination from a discrete set of landmarks, typically obtained by feature extraction. The set of landmarks may include both outliers and missing data. Our framework has a solid theoretical basis using principles of minimal description length (MDL). In order to exploit these ideas, new non-heuristic methods for (i) principal component analysis and (ii) procrustes mean are derived - as a consequence of the modelling principle. The resulting MDL criterion is optimised over both discrete and continuous decision variables. The algorithms have been implemented and tested on the problem of automatic shape extraction from feature points in image sequences. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
minimal description length, automatic construction, image segmentation, image recognition, tracking, feature extraction, image sequence, shape analysis, principal component analysis
in
Proceedings 15th Scandinavian Image Analysis Conference
editor
Ersböll, Bjarne Kjaer and Pedersen, Kim Stenstrup
volume
4522
pages
21 - 30
publisher
Springer
conference name
15th Scandinavian Image Analysis Conference
external identifiers
  • WOS:000247364000003
  • Scopus:38049077020
ISBN
ISBN 978-3-540-73039-2
DOI
10.1007/978-3-540-73040-8_3
language
English
LU publication?
yes
id
af5a64c5-c4c9-4e6d-8245-3fc7cb0dd7c3 (old id 643262)
date added to LUP
2007-12-04 14:10:29
date last changed
2016-10-13 04:37:51
@misc{af5a64c5-c4c9-4e6d-8245-3fc7cb0dd7c3,
  abstract     = {Automatic construction of shape models from examples has recently been the focus of intense research. These methods have proved to be useful for shape segmentation, tracking, recognition and shape understanding. In this paper we discuss automatic landmark selection and correspondence determination from a discrete set of landmarks, typically obtained by feature extraction. The set of landmarks may include both outliers and missing data. Our framework has a solid theoretical basis using principles of minimal description length (MDL). In order to exploit these ideas, new non-heuristic methods for (i) principal component analysis and (ii) procrustes mean are derived - as a consequence of the modelling principle. The resulting MDL criterion is optimised over both discrete and continuous decision variables. The algorithms have been implemented and tested on the problem of automatic shape extraction from feature points in image sequences.},
  author       = {Åström, Karl and Karlsson, Johan and Enqvist, Olof and Ericsson, Anders and Kahl, Fredrik},
  editor       = {Ersböll, Bjarne Kjaer and Pedersen, Kim Stenstrup},
  isbn         = {ISBN 978-3-540-73039-2},
  keyword      = {minimal description length,automatic construction,image segmentation,image recognition,tracking,feature extraction,image sequence,shape analysis,principal component analysis},
  language     = {eng},
  pages        = {21--30},
  publisher    = {ARRAY(0x7a4caa8)},
  series       = {Proceedings 15th Scandinavian Image Analysis Conference},
  title        = {Automatic feature point correspondences and shape analysis with missing data and outliers using MDL},
  url          = {http://dx.doi.org/10.1007/978-3-540-73040-8_3},
  volume       = {4522},
  year         = {2007},
}