Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active shape models—their training and application
Computer Vision and Image Understanding
International Journal of Computer Vision
FORMS: a flexible object recognition and modeling system
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Multidimensional alignment using the Euclidean distance transform
Graphical Models and Image Processing
Shock Graphs and Shape Matching
International Journal of Computer Vision
Shape Priors for Level Set Representations
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Alignment by maximization of mutual information
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ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Shock Graphs and Shape Matching
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Landmark matching via large deformation diffeomorphisms
IEEE Transactions on Image Processing
Using Prior Shapes in Geometric Active Contours in a Variational Framework
International Journal of Computer Vision
Shape Priors for Level Set Representations
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Non-rigid registration using distance functions
Computer Vision and Image Understanding - Special issue on nonrigid image registration
A Coupled Minimization Problem for Medical Image Segmentation with Priors
International Journal of Computer Vision
A curve tracing algorithm using level set based affine transform
Pattern Recognition Letters
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Prior Knowledge, Level Set Representations & Visual Grouping
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Shape matching and registration by data-driven EM
Computer Vision and Image Understanding
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A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
CoCRF deformable model: a geometric model driven by collaborative conditional random fields
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On Variational Curve Smoothing and Reconstruction
Journal of Mathematical Imaging and Vision
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
A shape prior constraint for implicit active contours
Pattern Recognition Letters
A variational PDE based level set method for a simultaneous segmentation and non-rigid registration
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Deformable-Model based textured object segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Spatio-temporal prior shape constraint for level set segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Uncertainty-Driven non-parametric knowledge-based segmentation: the corpus callosum case
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
Real-Time 3d image segmentation by user-constrained template deformation
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
TouchCut: Fast image and video segmentation using single-touch interaction
Computer Vision and Image Understanding
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This paper deals with the matching of geometric shapes. Our primary contribution is the use of a simple, robust, rich and efficient way to represent shapes, the level set representations according to singed distance transforms. Based on these representations we propose a variational framework for global as well as local shape registration that can be extended to deal with structures of higher dimension. The optimization criterion is invariant to rotation, translation and scale and combines efficiently a global motion model with local pixel-wise deformations. Promising results are obtained on examples showing small and large global deformations as well as arbitrary topological changes.