Visualization of Tolerance for Manufaturing

In this study the problem of visualizing uncertainty in sensed data for manufacturing applications is discussed. Constructing geometric models for the objects from sense data is the intermediate step in a reverse engineering manufacturing system. Sensors are usually inaccurate, providing uncertain sense information. We construct geometric entities with uncertainty models for the objects under consideration from noisy measurements. This case study mainly addresses recovering uncertainty in the geometric entities, in order to aid making later decisions about the geometry of the reconstructed parts.