Three-dimensional camera motion estimation with applications to videocompression and three-dimensional scene reconstruction,

摘要

Abstract: paper, we propose two classes of algorithms for modeling camera motion in video sequences captured by a camera. The first class can be applied in situations where there is no camera translation and the motion of the camera can be adequately modeled by zoom, pan, and rotation parameters. The second class is more general in that it can be applied to situations where the camera is undergoing a translational motion, as well as a rotation and zoom and pan. These algorithms are then applied to two problems: predictive video coding and three dimensional (3-D) scene reconstruction. In predictive coding, the 3-D camera motion is estimated from a sequence of frames and used to predict the apparent change in successive frames. In 3-D scene reconstruction, a 3-D object is `scanned' by translation/rotation motion of the camera along a pre-specified path. The information in successive frames is then used to recover depth at a few select locations. The depth and intensity information at these locations are then used to recover the intensity along intermediate points on the scanning path. Experimental results on both these applications are shown. !10