Applying Knowledge to Reverse Engineering Problems

Authors:
Robert B. Fisher
Affiliations:
-
Venue:
GMP '02 Proceedings of the Geometric Modeling and Processing — Theory and Applications (GMP'02)
Year:
2002

Citing 0
Cited 3

Semantic fitting and reconstruction

Journal on Computing and Cultural Heritage (JOCCH)
Review: Advances in 3D data acquisition and processing for industrial applications

Robotics and Computer-Integrated Manufacturing
Evolutionary computation approaches for shape modelling and fitting

EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper summarizes recent research at Edinburgh University on applying 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 noisy data, how to get better shape parameter estimates and how to infer data about unseen features.