A Framework for Automatic Landmark Identification Using a New Method of Nonrigid Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework for Automated Landmark Generation for Automated 3D Statistical Model Construction
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Alignment-Based Recognition of Shape Outlines
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
A New Distance Measure for Non-rigid Image Matching
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Boundary Finding with Correspondence Using Statistical Shape Models
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Integral Invariants for Shape Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
A scale space for contour registration using minimal surfaces
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Continuous curve matching with scale-space curvature and extrema-based scale selection
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
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A geometric criterion is developed for establishing shape based non rigid correspondence between plane curves. Unlike previous efforts, the criterion does not use rigid invariants of shape. Instead, shapes are compared non rigidly from the vantage point of the correspondence. Geometric invariants are proposed for curves whose shapes can be exactly matched by a non rigid correspondence. The invariants are based on angular deviations of convex and concave segments of the curves. Examples of correspondences between curves obtained from medical images are provided.