Computer Vision and Image Understanding
Camera network, Calibration, Collaborative, Distributed, Registration, 3D vision, Vision graph, Collaborative vision, Distributed computing
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.
Mavrinac, Aaron; Chen, Xiang; and Tepe, Kemal. (2010). An automatic calibration method for stereo-based 3D distributed smart camera networks. Computer Vision and Image Understanding, 114 (8), 952-962.