Deformable spatio-temporal shape models: extending active shape models to 2D+time

نویسندگان

  • Ghassan Hamarneh
  • Tomas Gustavsson
چکیده

This paper extends 2D active shape models to 2D þ time by presenting a method for modeling and segmenting spatio-temporal shapes (ST-shapes). The modeling part consists of constructing a statistical model of ST-shape parameters. This model describes the principal modes of variation of the ST-shape in addition to constraints on the allowed variations. An active approach is used in segmentation where an initial ST-shape is deformed to better fit the data and the optimal proposed deformation is calculated using dynamic programming. Segmentation results on both synthetic and real data are presented. q 2003 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Image Vision Comput.

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2004