Beschreibung:
Statistical models of shape, learnt from a set of examples, are a widely-used tool in image interpretation and shape analysis. Integral to this learning process is the establishment of a dense groupwise correspondence across the set of training examples.
"Introduction.-Statistical Models of Shape and Appearance.- Establishing Correspondence.- Objective Functions.- Re-parameterisation of Open and Closed Curves.- Parameterisation and Re-parameterisation of Surfaces.- Optimisation.- Non-parametric Regularization.- Evaluation of Statistical Models.- Appendix A Thin-Plate and Clamped Plate-Plate Splines.- Appendix B Differentiating the Objective Function.- Glossary.- References.- Index."
Statistical Models of Shape and Appearance.- Establishing Correspondence.- Objective Functions.- Re-parameterisation of Open and Closed Curves.- Parameterisation and Re-parameterisation of Surfaces.- Optimisation.- Non-parametric Regularization.- Evaluation of Statistical Models.