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Abstract : |
spatio-temporal view interpolation Digital photographs and video are exciting inventions that let us capture the visual experience of events around us in a computer and re-live the experience, although in a restrictive manner. Photographs only capture snapshots of a dynamic event, and while video does capture motion, it is recorded from pre-determined positions and consists of images discretely sampled in time, so the timing cannot be changed. This thesis presents an approach for re-rendering a dynamic event from an arbitrary viewpoint with any timing, using images captured from multiple video cameras. The event is modeled as a non-rigidly varying dynamic scene captured by many images from different viewpoints, at discretely sampled times. First, the spatio-temporal geometric properties (shape and instantaneous motion) are computed. Scene flow is introduced as a measure of non-rigid motion and algorithms to compute it, with the scene shape. The novel view synthesis problem is posed as, |
