An automatic calibration method for stereo-based 3D distributed smart camera networks

  • Authors:
  • Aaron Mavrinac;Xiang Chen;Kemal Tepe

  • Affiliations:
  • University of Windsor, Department of Electrical and Computer Engineering, 401 Sunset Ave., Windsor, Ontario, Canada N9B 3P4;University of Windsor, Department of Electrical and Computer Engineering, 401 Sunset Ave., Windsor, Ontario, Canada N9B 3P4;University of Windsor, Department of Electrical and Computer Engineering, 401 Sunset Ave., Windsor, Ontario, Canada N9B 3P4

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2010

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Abstract

Stereo-based 3D distributed smart camera networks are useful in a broad range of applications. Knowledge of the relative locations and orientations of nodes in the network is an essential prerequisite for true 3D sensing. A novel spatial calibration method for a network of pre-calibrated stereo smart cameras is presented, which obtains pose estimates suitable for collaborative 3D vision in a distributed fashion using two stages of registration on robust 3D point sets. The method is initially described in a geometrical sense, then presented in a practical implementation using existing vision and registration algorithms. Experiments using both software simulations and physical devices are designed and executed to demonstrate performance.