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Proceedings Paper

Panoramic stereo sphere vision
Author(s): Weijia Feng; Baofeng Zhang; Juha Röning; Xiaoning Zong; Tian Yi
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Paper Abstract

Conventional stereo vision systems have a small field of view (FOV) which limits their usefulness for certain applications. While panorama vision is able to “see” in all directions of the observation space, scene depth information is missed because of the mapping from 3D reference coordinates to 2D panoramic image. In this paper, we present an innovative vision system which builds by a special combined fish-eye lenses module, and is capable of producing 3D coordinate information from the whole global observation space and acquiring no blind area 360°×360° panoramic image simultaneously just using single vision equipment with one time static shooting. It is called Panoramic Stereo Sphere Vision (PSSV). We proposed the geometric model, mathematic model and parameters calibration method in this paper. Specifically, video surveillance, robotic autonomous navigation, virtual reality, driving assistance, multiple maneuvering target tracking, automatic mapping of environments and attitude estimation are some of the applications which will benefit from PSSV.

Paper Details

Date Published: 4 February 2013
PDF: 7 pages
Proc. SPIE 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 866206 (4 February 2013); doi: 10.1117/12.2004580
Show Author Affiliations
Weijia Feng, Tianjin Normal Univ. (China)
Baofeng Zhang, Tianjin Univ. of Technology (China)
Juha Röning, Univ. of Oulu (Finland)
Xiaoning Zong, Tianjin Univ. of Technology (China)
Tian Yi, Tianjin Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8662:
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)

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