Highly Influential

In this paper, we describe a reformulation of the corner detection problem as one in statistical pattern recognition enabling us to compute labels that are Bayesian posterior probabilities. We have generated the training data for our classifier using a grey-level model of the corner feature which permits sampling of the pattern space at arbitrary density as… (More)

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