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Estimating the kinematics and structure of a rigid object from a sequence of monocular images
1991
IEEE Transactions on Pattern Analysis and Machine Intelligence
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 image plane coordinates of which have been extracted from successive images in the sequence. Structure is defined as the 3-D positions of
doi:10.1109/34.87338
fatcat:on6j557by5asrim72rj6f3bulu