COX, IJ and REHG, JM and HINGORANI, S (1992) A BAYESIAN MULTIPLE HYPOTHESIS APPROACH TO CONTOUR GROUPING. LECT NOTES COMPUT SC , 588 72 - 77.
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Abstract
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.
| Type: | Article |
|---|---|
| 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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