Generalized Gradients: Priors on Minimization Flows
International Journal of Computer Vision
Curvature guided level set registration using adaptive finite elements
Proceedings of the 29th DAGM conference on Pattern recognition
Noise estimation and adaptive filtering during visual tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Probabilistic Contour Observer for Online Visual Tracking
SIAM Journal on Imaging Sciences
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Shape warping is a key problem in statistical shape analysis. This paper proposes a framework for geometric shape warping based on both shape distances and landmarks. Our method is compatible with implicit representations and a matching between shape surfaces is provided at no additional cost. It is, to our knowledge, the frst time that landmarks and shape distances are reconciled in a pure geometric level set framework. The feasibility of the method is demonstrated with two- and three-dimensional examples. Combining shape distance and landmarks, our approach reveals to need only a small number of landmarks to obtain improvements on both warping and matching.