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. © 2010 Elsevier Inc. All rights reserved.
CITATION STYLE
Mavrinac, A., Chen, X., & Tepe, K. (2010). An automatic calibration method for stereo-based 3D distributed smart camera networks. Computer Vision and Image Understanding, 114(8), 952–962. https://doi.org/10.1016/j.cviu.2010.03.003
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