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MDL Patch Correspondences on Unlabeled Images with Occlusions

In English

Författare

Summary, in English

Automatic construction of Shape and Appearance Models from examples

via establishing correspondences across the training set has been successful in the last decades.

One successful measure for establishing correspondences of high quality is minimum description length (MDL).

In other approaches it has been shown that parts+geometry models which model the appearance of parts of the object and the geometric relation between the parts

have been successful for automatic model building.

In this paper it is shown how to fuse the above approaches and use MDL to

fully automatically build optimal parts+geometry models from unlabeled images.

Avdelning/ar

Publiceringsår

2008

Språk

Engelska

Sidor

999-1006

Publikation/Tidskrift/Serie

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops)

Dokumenttyp

Konferensbidrag

Ämne

  • Mathematics

Nyckelord

  • computational geometry
  • image processing
  • MDL patch correspondence
  • unlabeled images
  • occlusions
  • automatic construction
  • shape model
  • appearance model
  • training set
  • minimum description length
  • automatic model building

Conference name

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), 2008

Conference date

2008-06-23 - 2008-06-28

Conference place

Anchorage, Alaska, United States

Status

Published

ISBN/ISSN/Övrigt

  • ISBN: 978-1-4244-2339-2