Constraints on deformable models: recovering 3D shape and nongrid motion
Artificial Intelligence
Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Solid shape
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward a computational theory of shape: an overview
ECCV 90 Proceedings of the first european conference on Computer vision
Image selective smoothing and edge detection by nonlinear diffusion. II
SIAM Journal on Numerical Analysis
Crystal growth and dendritic solidification
Journal of Computational Physics
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Active vision
International Journal of Computer Vision
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
International Journal of Computer Vision
Gradient flows and geometric active contour models
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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In this paper, we discuss some uses of curve evolution theory for problems in computer vision. We concentrate on three problem areas: shape theory, active contours, and geometric invariant scale spaces. The solutions to these key problems will all be based on flows which are obtained in a completely natural manner from geometric and physical principles.