A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes
- 1 May 1998
- journal article
- Published by Elsevier in Graphical Models and Image Processing
- Vol. 60 (3) , 173-195
- https://doi.org/10.1006/gmip.1998.0469
Abstract
No abstract availableThis publication has 42 references indexed in Scilit:
- Recursive estimation of structure and motion using relative orientation constraintsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Tracking complex primitives in an image sequencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Wavelet descriptor of planar curves: theory and applicationsIEEE Transactions on Image Processing, 1996
- Learning to track the visual motion of contoursArtificial Intelligence, 1995
- Use of active shape models for locating structures in medical imagesImage and Vision Computing, 1994
- A framework for spatiotemporal control in the tracking of visual contoursInternational Journal of Computer Vision, 1993
- Motion segmentation and qualitative dynamic scene analysis from an image sequenceInternational Journal of Computer Vision, 1993
- Using deformable surfaces to segment 3-D images and infer differential structuresCVGIP: Image Understanding, 1992
- Structural Image Restoration through Deformable TemplatesJournal of the American Statistical Association, 1991
- Modeling of Atmospheric Disturbances in Meteorological PicturesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984