IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
The 3L Algorithm for Fitting Implicit Polynomial Curves and Surfaces to Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Virtual Archaeologist: Assembling the Past
IEEE Computer Graphics and Applications
Color Classification of Archaeological Fragments
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Improving the stability of algebraic curves for applications
IEEE Transactions on Image Processing
Guest Editorial: Computational Vision at Brown
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Toward a framework for assembling broken pottery vessels
Eighteenth national conference on Artificial intelligence
Digital anastylosis of the Octagon in Ephesos
Journal on Computing and Cultural Heritage (JOCCH)
A recovery system of broken relics using least squares fitting and vector similarity techniques
Expert Systems with Applications: An International Journal
Learning how to match fresco fragments
Journal on Computing and Cultural Heritage (JOCCH)
Fragmented skull modeling using heat kernels
Graphical Models
Analyzing and simulating fracture patterns of theran wall paintings
Journal on Computing and Cultural Heritage (JOCCH)
3D orientation of archaeological fragments coming from a Gothic spire
VAST'04 Proceedings of the 5th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Reassembling thin artifacts of unknown geometry
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
Analyzing fracture patterns in theran wall paintings
VAST'10 Proceedings of the 11th International conference on Virtual Reality, Archaeology and Cultural Heritage
Axis estimation and grouping of rotationally symmetric object segments
Pattern Recognition
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A heretofore unsolved problem of great archaeological importance is the automatic assembly of pots made on a wheel from the hundreds (or thousands) of sherds found at an excavation site. An approach is presented to the automatic estimation of mathematical models of such pots from 3D measurements of sherds. The overall approach is formulated and described and some detail is provided on the elements of the procedure. The end result is a representation suitable for comparisons, geometric feature extraction, visualization and digital archiving. Matching of fragments and aligning them geometrically is based on matching break-curves (curves on a pot surface separating fragments), estimated axes and profile curves for individual fragments and groups of matched fragments, and a number of features of groups of break-curves. Pot assembly is a bottom-up maximum likelihood performance-based search. In our case, associated with subassemblies of fragments is a loglikelihood which is a sum of energy functions. Experiments are illustrated on pots which were broken for the purpose, and on sherds from an archaeological dig located in Petra, Jordan. The addressed problem and solution can be considered as problems in "geometric learning" and in "perceptual grouping," where subgroups of pot fragments at a site location are to be assembled into individual virtual pots and other fragments are to be discarded as clutter.