Applying Knowledge to Reverse Engineering Problems

This paper summarizes a series of recent research results made at Edinburgh University based on projects that apply domain knowledge of standard shapes and relationships to solve or improve reverse engineering problems. The problems considered are how to enforce known relationships when data fitting, how to extract features even in very noisy data, how to get better shape parameter estimates and how to infer data about unseen features.

• Type: Conference
• Year: 2002
• Where: GMP
• Authors: Robert B. Fisher
• Keywords: Engineering Problems, GMP 2002, Noisy Data, Shape Parameter Estimates, Solid Modeling