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Proceedings Paper

Modeling camera orientation and 3D structure from a sequence of images taken by a perambulating commercial video camera
Author(s): Behrouz M-Rouhani; James A. D. W. Anderson
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Paper Abstract

In this paper we report the degree of reliability of image sequences taken by off-the-shelf TV cameras for modeling camera rotation and reconstructing 3D structure using computer vision techniques. This is done in spite of the fact that computer vision systems usually use imaging devices that are specifically designed for the human vision. Our scenario consists of a static scene and a mobile camera moving through the scene. The scene is any long axial building dominated by features along the three principal orientations and with at least one wall containing prominent repetitive planar features such as doors, windows bricks etc. The camera is an ordinary commercial camcorder moving along the axial axis of the scene and is allowed to rotate freely within the range +/- 10 degrees in all directions. This makes it possible that the camera be held by a walking unprofessional cameraman with normal gait, or to be mounted on a mobile robot. The system has been tested successfully on sequence of images of a variety of structured, but fairly cluttered scenes taken by different walking cameramen. The potential application areas of the system include medicine, robotics and photogrammetry.

Paper Details

Date Published: 25 April 1997
PDF: 12 pages
Proc. SPIE 3019, Solid State Sensor Arrays: Development and Applications, (25 April 1997); doi: 10.1117/12.275166
Show Author Affiliations
Behrouz M-Rouhani, Univ. of Reading (United Kingdom)
James A. D. W. Anderson, Univ. of Reading (United Kingdom)

Published in SPIE Proceedings Vol. 3019:
Solid State Sensor Arrays: Development and Applications
Morley M. Blouke, Editor(s)

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