Abstract
The performance of the three-dimensional non-contact measuring devises (3D laser or industrial X-rays CT scanning devices) have been rapidly developed, and it increases the importance of reverse engineering(RE) where 3D CAD model is reconstructed from scanned mesh model measured from real objects. However, existing reverse engineering methods cannot recover the feature-based model representations that might be defined in CAD systems, therefore the reconstructed CAD models cannot be easily faired and modified for the effective use in downstream applications. The purpose of the research is to propose a new algorithm that robustly detects the defining parameters of revolved features from the scanned meshes including scanning error and noise. Revolved feature is one of the popular CAD modeling commands and is widely used for designing engineering objects. We also developed the system that can import a set of geometric parameters into CAD systems and automatically creates 3D CAD models.
