Stable Segmentation of 2D Curves
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Date
07/1998Author
Fitzgibbon, Andrew WJ
Metadata
Abstract
This thesis deals with the specific subproblem of converting sequences of two-dimensional
data points into higher level descriptions in terms of curved shape primitives. This is an important
member of the wider family of segmentation problems, as rawcurve data are readily
available from edge-detection processes, but higher level processes—such as the extraction
of geometric invariants or 2D object recognition—require the higher level descriptions.
The overriding principle of the work is that if the segmentation process is accurate and repeatable,
the later stages of processing are greatly simplified.