Motion Estimation for Multi-Camera Systems using Global Optimization
Date
2008
Authors
Kim, Jae-Hak
Li, Hongdong
Hartley, Richard
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We present a motion estimation algorithm for multi-camera systems consisting of more than one calibrated camera securely attached on a moving object. So, they move all together, but do not require to have overlapping views across the cameras. The geometrically optimal solution of the motion for the multi-camera systems under L∞ norm is provided in this paper using a global optimization technique which has been introduced recently in the computer vision research field. Taking advantage of an optimal estimate of the essential matrix through searching rotation space, we provide the optimal solution for translation by using linear programming and Branch & Bound algorithm. Synthetic and real data experiments are conducted, and they show more robust and improved performance than the previous methods.
Description
Keywords
Keywords: Calibrated cameras; Motion estimation algorithms; Moving objects; Multi-camera systems; Optimal solutions; Artificial intelligence; Cameras; Computer vision; Estimation; Feature extraction; Global optimization; Image processing; Mathematical programming;
Citation
Collections
Source
Proceedings of CVPR 2008
Type
Conference paper
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Restricted until
2037-12-31