Bayesian Corner Detection | Zendy

Xining Zhang | Zendy; Robert M. Haralick | Zendy

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Bayesian Corner Detection

Author(s) -

Xining Zhang,

Robert M. Haralick

Publication year - 1993

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.7.63

Subject(s) - corner detection , maximum a posteriori estimation , a priori and a posteriori , artificial intelligence , bayesian probability , image (mathematics) , sequence (biology) , computer science , noise (video) , computer vision , column (typography) , algorithm , pattern recognition (psychology) , maximum likelihood , mathematics , geometry , statistics , connection (principal bundle) , philosophy , epistemology , biology , genetics

Corners play important roles in high level image understanding. They are the main features in many 2D or 3D image models associated with image understanding algorithms. The Bayesian corner detection method inputs a sequence of row-column pairs along an arc and outputs the corner positions and the corner included angles that maximize the a posteriori probability. Experiments on artificially generated sequences permit the measurement of errors of the estimated corner positions and included angles versus different noise perturbations, angles and line lengths respectively.

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