Robust 3D pose estimation from multiple video cameras

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Robust 3D pose estimation from multiple video cameras
In this paper, we introduce a method to estimate the object's pose from multiple video cameras. We derive a centralized solution to pose estimation from multiple video cameras by solving a general matrix equation. Moreover, we provide an equivalent distributed solution to the pose estimation problem based on the independent pose estimation obtained from each camera. We demonstrate that both methods generate superior estimates to the results obtained from any specific camera view. The resulting pose estimation technique is shown to be robust to occlusion and errors from specific camera views, and the computational complexity of the distributed solution grows linearly with the number of cameras. Furthermore, the proposed approach does not require feature matching among images from different camera views nor does it demand reconstruction of 3D points.
Chong Chen, Dan Schonfeld
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICIP
Authors Chong Chen, Dan Schonfeld
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