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Open Access

Design of Vertically Aligned Binocular Omnistereo Vision Sensor

  • Yi-ping Tang1,
  • Qing Wang2Email author,
  • Ming-li Zong2,
  • Jun Jiang2 and
  • Yi-hua Zhu2
EURASIP Journal on Image and Video Processing20102010:624271

Received: 30 November 2009

Accepted: 24 August 2010

Published: 26 August 2010


Catadioptric omnidirectional vision sensor (ODVS) with a fixed single view point is a fast and reliable single panoramic visual information acquisition equipment. This paper presents a new type of binocular stereo ODVS which composes of two ODVS with the same parameters. The single view point of each ODVS is fixed on the same axis with face-to-face, back-to-back, and faceto- back configuration; the single view point design is implemented by catadioptric technology such as the hyperboloid, constant angular resolution, and constant vertical resolution. The catadioptric mirror design uses the method of increasing the resolution of the view field and the scope of the image in the vertical direction. The binocular stereo ODVS arranged in vertical is designed spherical, cylindrical surfaces and rectangular plane coordinate system for 3D calculations. Using the collinearity of two view points, the binocular stereo ODVS is able to easily align the azimuth, while the camera calibration, feature points match, and other cumbersome steps have been simplified. The experiment results show that the proposed design of binocular stereo ODVS can solve the epipolar constraint problems effectively, match three-dimensional image feature points rapidly, and reduce the complexity of three-dimensional measurement considerably.


AzimuthFeature PointCamera CalibrationInformation AcquisitionVision Sensor

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Authors’ Affiliations

College of Information Engineering, Zhejiang University of Technology, Hangzhou, China
College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China


© Yi-ping Tang et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.