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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1
High Resolution Video Mosaicing with Global Alignment
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
Roberto Marzotto, Università degli Studi di Verona
Andrea Fusiello, Università degli Studi di Verona
Vittorio Murino, Università degli Studi di Verona
Image composition (or mosaicing) has attracted a growing attention in recent years as one of the main elements in video analysis and representation. In this paper we deal with the problem of global alignment and super-resolution. We also propose to evaluate the quality of the resulting mosaic by measuring the amount of blurring. Global registration is achieved by combining a graph-based technique — that exploits the topological structure of the sequence induced by the spatial overlap — with a bundle adjustment which uses only the homographies computed in the previous steps. Experimental comparison with other techniques shows the effectiveness of our approach.
Citation:
Roberto Marzotto, Andrea Fusiello, Vittorio Murino, "High Resolution Video Mosaicing with Global Alignment," cvpr, vol. 1, pp.692-698, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 1, 2004
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