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ICRA
2006
IEEE

A Minimum Variance Calibration Algorithm for Pan-tilt Robotic Cameras in Natural Environments

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A Minimum Variance Calibration Algorithm for Pan-tilt Robotic Cameras in Natural Environments
— A new generation of inexpensive robotic pan-tilt cameras can maintain high-resolution panoramic displays of natural environments. However, the pan-tilt mechanisms are imprecise: small errors can produce large errors in the panoramic display. It is thus important to accurately estimate pan-tilt values. We present a new calibration algorithm that does not rely on calibration markers or fixed orthogonal edges which are rarely available in natural scenes. Our calibration algorithm uses image variance density to optimally estimate camera pan and tilt values by incrementally refining image registration using overlapping images from prior frames. Experiments suggest that the new calibration algorithm can reduce calibration error by 81%. In a companion paper [19], we present a new image registration algorithm based on spherical projection that optimally aligns the resulting frames.
Dezhen Song, Ni Qin, Kenneth Y. Goldberg
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where ICRA
Authors Dezhen Song, Ni Qin, Kenneth Y. Goldberg
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