A comparison of rotational representations in structure and motion estimation for manoeuvring objects.
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Abstract
Alternative methods are examined for estimating motion and structure of objects undergoing smooth maneuvers through measurements of feature positions in long, multiple-camera image sequences. Performance of extended Kalman filters are compared for Euler angle-axis, roll-pitch-yaw, and quaternion parameterizations of rotational motion. The angle-axis method was found to give the best overall performance with a computationally efficient implementation.