Automated 3D reconstruction of interiors with multiple scan views

Vitor Sequeira; Kia C. Ng; Erik Wolfart; Joao G. M. Goncalves; David C. Hogg

doi:10.1117/12.333775

14 December 1998 Automated 3D reconstruction of interiors with multiple scan views

Vitor Sequeira, Kia C. Ng, Erik Wolfart, Joao G. M. Goncalves, David C. Hogg

Proceedings Volume 3641, Videometrics VI; (1998) https://doi.org/10.1117/12.333775
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

This paper presents two integrated solutions for realistic 3D model acquisition and reconstruction; an early prototype, in the form of a push trolley, and a later prototype in the form of an autonomous robot. The systems encompass all hardware and software required, from laser and video data acquisition, processing and output of texture-mapped 3D models in VRML format, to batteries for power supply and wireless network communications. The autonomous version is also equipped with a mobile platform and other sensors for the purpose of automatic navigation. The applications for such a system range from real estate and tourism (e.g., showing a 3D computer model of a property to a potential buyer or tenant) or as tool for content creation (e.g., creating 3D models of heritage buildings or producing broadcast quality virtual studios). The system can also be used in industrial environments as a reverse engineering tool to update the design of a plant, or as a 3D photo-archive for insurance purposes. The system is Internet compatible: the photo-realistic models can be accessed via the Internet and manipulated interactively in 3D using a common Web browser with a VRML plug-in. Further information and example reconstructed models are available on- line via the RESOLV web-page at http://www.scs.leeds.ac.uk/resolv/.

Citation Download Citation

Vitor Sequeira, Kia C. Ng, Erik Wolfart, Joao G. M. Goncalves, and David C. Hogg "Automated 3D reconstruction of interiors with multiple scan views", Proc. SPIE 3641, Videometrics VI, (14 December 1998); https://doi.org/10.1117/12.333775

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