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An approach is presented for the estimation of object motion parameters based on a sequence of noisy images. The problem considered is that of a rigid body undergoing unknown rotational and translational motion. The measurement data consists of a sequence of noisy image coordinates of two or more object correspondence points. By modeling the object dynamics(More)
The problem considered here involves the use of a sequence of noisy monocular images of a three-dimensional (3-D) moving object to estimate both its structure and kinematics. The object is assumed to be rigid, and its motion is assumed to be " smooth. " A set of object match points is assumed to be available, consisting of fixed features on the object, the(More)
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