Distributed pose estimation from multiple views

Chong Chen; Dan Schonfeld; Magdi Mohamed

doi:10.1117/12.766048

28 January 2008 Distributed pose estimation from multiple views

Chong Chen, Dan Schonfeld, Magdi Mohamed

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68220C (2008) https://doi.org/10.1117/12.766048
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

A method is introduced to track the object's motion and estimate its pose from multiple cameras. We focus on direct estimation of the 3D pose from 2D image sequences. We derive a distributed solution that is equivalent to the centralized pose estimation from multiple cameras. Moreover, we show that, by using a proper rotation between each camera and a fixed camera view, we can rely on independent pose estimation from each camera. Then, we propose a robust solution to the centralized pose estimation problem by deriving a best linear unbiased estimate from the rotated pose estimates obtained from each camera. The resulting pose estimation is therefore robust to errors obtained from specific camera views. Moreover, the computational complexity of the distributed solution is efficient and grows linearly with the number of camera views. Finally, the computer simulation experiments demonstrate that our algorithm is fast and accurate.

Citation Download Citation

Chong Chen, Dan Schonfeld, and Magdi Mohamed "Distributed pose estimation from multiple views", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220C (28 January 2008); https://doi.org/10.1117/12.766048

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KEYWORDS

Cameras

Imaging systems

3D modeling

3D image processing

Motion estimation

Video

Signal to noise ratio

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