A BAYESIAN MULTIPLE HYPOTHESIS APPROACH TO CONTOUR GROUPING.
LECT NOTES COMPUT SC
72 - 77.
We present an approach to contour grouping based OD classical tracking techniques. Edge points are segmented into smooth curves so as to minimize a recursively updated Bayesian probability measure. The resulting algorithm employs local smoothness constraints and a statistical description of edge detection, and can accurately handle corners, bifurcations, and curve intersections. Experimental results demonstrate good performance.
|Title:||A BAYESIAN MULTIPLE HYPOTHESIS APPROACH TO CONTOUR GROUPING|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
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