A Rule Based Approach for Visual Pattern Inspection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modified Hebbian learning for curve and surface fitting
Neural Networks
Volumetric shapes of solids of revolution from a single-view range image
CVGIP: Image Understanding
A Hough transform technique for the detection of rotational symmetry
Pattern Recognition Letters
The three conditions of a good line parameterization
Pattern Recognition Letters
Local deformations of digital curves
Pattern Recognition Letters
Computer Vision
Estimation of Curvature and Tangent Direction by Median Filtered Differencing
ICIAP '95 Proceedings of the 8th International Conference on Image Analysis and Processing
On the Measurement of Curvature in a Quantized Environment
IEEE Transactions on Computers
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The archivation of ancient vessel-fragments is a time consuming but important task for archaeologists. The basis for classification and reconstruction is the profile which is the cross-section of the fragment in the direction of the rotational axis of symmetry. Hence the position of a fragment (orientation) on a vessel is important. In this work the estimation of the axis of rotation out of range data by using a Hough inspired method is proposed. In order to avoid outliers the a robust method for estimation of the axis is used. Classification and reconstruction are performed in a bottom-up manner using a description language, which holds all features of the fragment as primitives and all properties among features as relations. Classification of newly found fragments of unknown type is performed by comparing the description of the new fragment with the description of already classified fragments by computing graph similarity. The sub-graph with the highest similarity is then used to reconstruct the complete vessel out of the fragment.