Modeling camera orientation and 3D structure from a sequence of images taken by a perambulating commercial video camera

Behrouz M-Rouhani; James A. D. W. Anderson

doi:10.1117/12.275166

25 April 1997 Modeling camera orientation and 3D structure from a sequence of images taken by a perambulating commercial video camera

Behrouz M-Rouhani, James A. D. W. Anderson

Author Affiliations +

Proceedings Volume 3019, Solid State Sensor Arrays: Development and Applications; (1997) https://doi.org/10.1117/12.275166
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

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Behrouz M-Rouhani and James A. D. W. Anderson "Modeling camera orientation and 3D structure from a sequence of images taken by a perambulating commercial video camera", Proc. SPIE 3019, Solid State Sensor Arrays: Development and Applications, (25 April 1997); https://doi.org/10.1117/12.275166

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KEYWORDS

Cameras

Computing systems

Imaging systems

Machine vision

Computer vision technology

Image segmentation

3D image processing

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