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Computing the motions of several moving objects in image sequences involves simultaneous motion analysis and segmentation. This task can become complicated when image motion changes signiicantly between frames, as with camera vibrations. Such vibrations make tracking in longer sequences harder, as temporal motion constancy can not be assumed. The problem(More)
ÐImage mosaicing is commonly used to increase the visual field of view by pasting together many images or video frames. Existing mosaicing methods are based on projecting all images onto a predetermined single manifold: A plane is commonly used for a camera translating sideways, a cylinder is used for a panning camera, and a sphere is used for a camera(More)
A method for computing the 3D camera motion (the ego-motion) in a static scene is described, where initially a detected 2D motion between two frames is used to align corresponding image regions. We prove that such a 2D registration removes all eeects of camera rotation, even for those image regions that remain misaligned. The resulting residual parallax(More)
Video mosaicing is commonly used to increase the eeective visual eld of view. Existing mosaicing methods are based on image alignment, and are eeective only in very limited cases. To overcome most restrictions, mosaicing is presented in this paper as a process of collecting strips. Strips which are perpendicular to the optical ow are cut out of the images,(More)
Computing camera rotation from image sequences can serve m a n y computer vision applications. One direct application is image stabilization , and when the camera rotation is known the computation of camera translation and 3D scene structure are much simpliied. A new approach for recovering camera rotation is presented in this paper, which p r o ves to be(More)