Shape matching using edit-distance: an implementation
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
A global approach to automatic solution of jigsaw puzzles
Proceedings of the eighteenth annual symposium on Computational geometry
International Journal of Computer Vision
Computing Match Functions for Curves in R2 and R3 by Refining Polyline Approximations
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Unsupervised Learning of an Atlas from Unlabeled Point-Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition
International Journal of Computer Vision
Recognition of Shapes by Editing Their Shock Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
A global approach to automatic solution of jigsaw puzzles
Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometrySoCG2002
Learning Shape Correspondence for n-D curves
International Journal of Computer Vision
Measures for Benchmarking of Automatic Correspondence Algorithms
Journal of Mathematical Imaging and Vision
Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence
International Journal of 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
Construction of neuroanatomical shape complex atlas from 3D brain MRI
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Two-Dimensional discrete shape matching and recognition
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
Relative accuracy measures for stroke gestures
Proceedings of the 15th ACM on International conference on multimodal interaction
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We present an approach to computing a curve atlas based on deriving a correspondence between two curves. This correspondence is based on a notion of an alignment curve and on a measure of similarity between the intrinsic properties of the curve, namely, length and curvature. The optimal correspondence is found by an efficient dynamic-programming method. This is then used to compute an average for a set of curves and applied to computing the averages of bone shapes and corpus callosum as examples, towards constructing a computational atlas. The proposed notion of alignment also leads to a registration method, which is illustrated with several examples.