Panoramic view construction

Abstract In this paper, the problem of constructing the whole view of a scene background from an image sequence is considered. First, point or block correspondence between each pair of successive frames is determined. Three parametric motion models are used: 2-D translation with scale change, affine, and projective. Motion parameters are estimated using either robust criteria and the Levenberg–Marquardt algorithm, or affine moment invariants. Then the parametric models are composed and all the frames are aligned, yielding a whole view of the scene background. A new technique is introduced for the correction of accumulated frame alignment errors.

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