Document Type
Article
Publication Date
2010
Publication Title
Computer Vision and Image Understanding
Volume
114
Issue
8
First Page
952
Keywords
Camera network, Calibration, Collaborative, Distributed, Registration, 3D vision, Vision graph, Collaborative vision, Distributed computing
Last Page
962
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.
DOI
doi:10.1016/j.cviu.2010.03.003
Recommended Citation
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.
https://scholar.uwindsor.ca/electricalengpub/8
Comments
NOTICE: this is the author’s version of a work that was accepted for publication in Computer Vision and Image Understanding. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published here: http://dx.doi.org/10.1016/j.cviu.2010.03.003