Triangular mesh generation from 3D vision data

Colin H. Bradley; Ian Archibald; Vincent H. Chan

doi:10.1117/12.294462

10 December 1997 Triangular mesh generation from 3D vision data

Colin H. Bradley, Ian Archibald, Vincent H. Chan

Proceedings Volume 3204, Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III; (1997) https://doi.org/10.1117/12.294462
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

Abstract

This paper presents the development of a hardware and software system suitable for the three-dimensional (3-D) digitization and computer modeling of objects intended for manufacture through mold making via CNC machining or rapid tooling systems. The hardware sub-system is comprised of a three- dimensional (3-D) machine vision sensor integrated with a computer numerically controlled (CNC) machine tool. The software sub-system consists of modeling very large 3-D data sets (termed cloud data) using a unified, non-redundant triangular mesh. This representation is accomplished from the 3-D data points by a novel triangulation process. A case study is presented that illustrates the efficacy of the technique for rapid manufacture from an initial designer's model.

Citation Download Citation

Colin H. Bradley, Ian Archibald, and Vincent H. Chan "Triangular mesh generation from 3D vision data", Proc. SPIE 3204, Three-Dimensional Imaging and Laser-based Systems for Metrology and Inspection III, (10 December 1997); https://doi.org/10.1117/12.294462

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available