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A BAYESIAN MULTIPLE HYPOTHESIS APPROACH TO CONTOUR GROUPING

COX, IJ; REHG, JM; 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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