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Proceedings Paper

Virtual environments from panoramic images
Author(s): David P. Chapman; Andrew Deacon
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Paper Abstract

A number of recent projects have demonstrated the utility of Internet-enabled image databases for the documentation of complex, inaccessible and potentially hazardous environments typically encountered in the petrochemical and nuclear industries. Unfortunately machine vision and image processing techniques have not, to date, enabled the automatic extraction geometrical data from such images and thus 3D CAD modeling remains an expensive and laborious manual activity. Recent developments in panoramic image capture and presentation offer an alternative intermediate deliverable which, in turn, offers some of the benefits of a 3D model at a fraction of the cost. Panoramic image display tools such as Apple's QuickTime VR (QTVR) and Live Spaces RealVR provide compelling and accessible digital representations of the real world and justifiably claim to 'put the reality in Virtual Reality.' This paper will demonstrate how such technologies can be customized, extended and linked to facility management systems delivered over a corporate intra-net to enable end users to become familiar with remote sites and extract simple dimensional data. In addition strategies for the integration of such images with documents gathered from 2D or 3D CAD and Process and Instrumentation Diagrams (P&IDs) will be described as will techniques for precise 'As-Built' modeling using the calibrated images from which panoramas have been derived and the use of textures from these images to increase the realism of rendered scenes. A number of case studies relating to both nuclear and process engineering will demonstrate the extent to which such solution are scaleable in order to deal with the very large volumes of image data required to fully document the large, complex facilities typical of these industry sectors.

Paper Details

Date Published: 14 December 1998
PDF: 9 pages
Proc. SPIE 3641, Videometrics VI, (14 December 1998); doi: 10.1117/12.333776
Show Author Affiliations
David P. Chapman, Univ. College London (United Kingdom)
Andrew Deacon, As-Built Solutions Ltd. (United Kingdom)

Published in SPIE Proceedings Vol. 3641:
Videometrics VI
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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