Applying knowledge to reverse engineering problems

Abstract

: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.Keywords : range data, reverse engineering, constraints Copyright c 2004 by The University of Edinburgh. All Rights ReservedThe authors and the University of Edinburgh retain the right to reproduce and publish this paper for non-commercial purposes.Permission is granted for this report to be reproduced by others for non-commercial purposes as long as this copyright notice is reprinted in full in any reproduction. Applications to make other use of the material should be addressed in the first instance to Copyright Permissions, School of Informatics, The University of Edinburgh, 2 Buccleuch Place, Edinburgh EH8 9LW, Scotland. DRAFT: Applying knowledge to reverse engineering problemsRobert B. Fisher School of Informatics, University of Edinburgh rbf@inf.ed.ac.uk AbstractThis 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.

L�information brevet au service de l�industrie p�troli�re: Cas de conception et optimisation des tr�pans par ing�nierie invers�e

“…(2008) et Bagci (2009, se sont penchés sur l'utilisation de la puissance des systèmes informatiques de conception assistée par ordinateur (CAO) pour la finition des modèles conceptuels obtenus. D'autres auteurs, notamment Fisher (2004) et Durupt & al. (2008, 2010aet 2010b, sont allés au-delà des techniques pour s'intéresser aux processus cognitifs d'apprentissage par la pratique du reverse engineering, en utilisant des méthodes dites KBRE (Knowledge-Based Reverse Engineering).…”

RECONSTRUCTION OF CONSISTENT 3D CAD MODELS FROM POINT CLOUD DATA USING A PRIORI CAD MODELS

“…We finally would like to mention the work of (Fisher, 2004) that points out the interest of using a priori knowledge in the reverse engineering process, so as to provide high quality results. The authors notably propose to take shapes relationships into account, by adding constraints in the localized shape fitting problem.…”

A parametric feature-based approach to reconstructing traditional filigree jewelry

“…In our approach we aim to achieve some level of automation without sacrificing real time response and high accuracy. This approach has been adopted successfully by general purpose reverse engineering systems [17].…”