Active, optical range imaging sensors
Machine Vision and Applications
The three conditions of a good line parameterization
Pattern Recognition Letters
Local deformations of digital curves
Pattern Recognition Letters
Model-based registration of front- and backviews of rotationally symmetric objects
Computer Vision and Image Understanding - Registration and fusion of range images
On the Measurement of Curvature in a Quantized Environment
IEEE Transactions on Computers
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Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification of ceramics. Classification and reconstruction of archaeological fragments is based on the profile, which is the cross-section of the fragment in the direction of the rotational axis of symmetry. In order to segment the profile into primitives like rim, wall, and base, rules based on human expert knowledge are created. The input data for the estimation of the profile is a set of points produced by the acquisition system. A function fitting this set is constructed and later on processed to find the characteristic points necessary to classify the original fragment. We demonstrate the method and give results on real archaeological data.