A statistical framework for geometric tolerancing manufactured parts

Visual inspection of a part from its image is always affected by image errors. Understanding how image errors affect measurement precision is therefore critical for accurate inspection. In this paper we lay out a statistical framework that allows one 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