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2010

Pose estimation from multiple cameras based on Sylvester's equation

10 years 1 months ago
Pose estimation from multiple cameras based on Sylvester's equation
In this paper, we introduce a method to estimate the object's pose from multiple cameras. We focus on direct estimation of the 3D object pose from 2D image sequences. Scale-Invariant Feature Transform (SIFT) is used to extract corresponding feature points from adjacent images in the video sequence. We first demonstrate that centralized pose estimation from the collection of corresponding feature points in the 2D images from all cameras can be obtained as a solution to a generalized Sylvester's equation. We subsequently derive a distributed solution to pose estimation from multiple cameras and show that it is equivalent to the solution of the centralized pose estimation based on Sylvester's equation. Specifically, we rely on collaboration among the multiple cameras to provide an iterative refinement of the independent solution to pose estimation obtained for each camera based on Sylvester's equation. The proposed approach to pose estimation from multiple cameras rel...
Chong Chen, Dan Schonfeld
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2010
Where CVIU
Authors Chong Chen, Dan Schonfeld
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