3D shape representation by contours
Computer Vision, Graphics, and Image Processing
On minimal energy trajectories
Computer Vision, Graphics, and Image Processing
Active shape models—their training and application
Computer Vision and Image Understanding
Local parallel computation of stochastic completion fields
Neural Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Mathematical Software (TOMS)
Euler Spiral for Shape Completion
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object segmentation by traversing a pose-shape manifold
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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We present a new approach to the algorithmic study of planar curves, with applications to estimations of contours in images. We construct spaces of curves satisfying constraints suited to specific problems, exploit their geometric structure to quantify properties of contours, and solve optimization and inference problems. Applications include new algorithms for computing planar elasticae, with enhanced performance and speed, and geometric algorithms for the estimation of contours of partially occluded objects in images.