Corner Detection with Covariance Propagation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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An image is never noise free. Visual inspection of a part from its image is therefore affected by image errors. Understanding how image errors affect measurement precision is therefore critical for accurate inspection. In this paper, we layout a statistical framework that allows to explicitly handle image errors and characterize their impact on measurement precision. A hierarchical model is also proposed to model manufacturing and measurement errors. Based on the model, a Bayesian technique is introduced to statistically infer the geometric tolerances of a manufactured part.