Shape statistics in kernel space for variational image segmentation
- 30 September 2003
- journal article
- Published by Elsevier BV in Pattern Recognition
- Vol. 36 (9), 1929-1943
- https://doi.org/10.1016/s0031-3203(03)00056-6
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- Wormholes in shape space: tracking through discontinuous changes in shapePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Diffusion-snakes: combining statistical shape knowledge and image information in a variational frameworkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah FunctionalInternational Journal of Computer Vision, 2002
- A mixture model for representing shape variationImage and Vision Computing, 1999
- Nonlinear modeling of scattered multivariate data and its application to shape changeIEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
- A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable ShapesGraphical Models and Image Processing, 1998
- Automated Pivot Location for the Cartesian-Polar Hybrid Point Distribution Model.Published by British Machine Vision Association and Society for Pattern Recognition ,1995
- Boundary finding with parametrically deformable modelsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1992
- Principal CurvesJournal of the American Statistical Association, 1989
- XVI. Functions of positive and negative type, and their connection the theory of integral equationsPhilosophical Transactions of the Royal Society A, 1909