2013 Proc. IEEE Global Conference on Signal and Information Processing,
December 3-5, 2013, pp. 731-734, Austin, Texas USA.
Online Calibration and Synchronization of Cellphone Camera Gyroscope
Chao Jia and
Brian L. Evans
Department of Electrical
and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
kurtjc@gmail.com -
bevans@ece.utexas.edu
Paper -
Poster -
Software -
Research Project Site
Abstract
Gyroscope is playing a key role in helping estimate camera rotation
during mobile video capture.
The fusion of gyroscope and visual measurements needs the knowledge
of camera projection parameters, the gyroscope bias and the relative
orientation between gyroscope and camera.
Moreover, the timestamps of gyroscope and video frames are usually
not well synchronized.
In this paper, we propose an online method that estimates all the
necessary parameters while capturing videos.
Our contributions are
- simultaneous online camera self-calibration and camera-gyroscope
calibration based on an implicit extended Kalman filter, and
- generalization of coplanarity constraint of camera rotation
in a rolling shutter camera model for cellphones.
The proposed method is able to accurately estimate the needed parameters
online with all kinds of camera motion, and can be embedded in gyro-aided
applications such as video stabilization and feature tracking.
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Last updated 01/31/16.