A corner is modelled as the intersection of two lines. A corner point is that point on an input digital arc whose a posteriori probability of being a corner is the maximum among all the points on the arc. The performance of the corner detector is characterized by its false alarm rate, misdetection rate, and the corner location error all as a function of the noise variance, the included corner angle, and the arc length. Theoretical expressions for the quantities compare well with experimental results.<>
A Bayesian corner detector
Proceedings of 1st International Conference on Image Processing ; 2 ; 282-286 vol.2
1994-01-01
427126 byte
Conference paper
Electronic Resource
English
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